<?xml version="1.0" encoding="UTF-8"?>
<records type="array">
  <record>
    <n>2</n>
    <for-date>2007-02-18</for-date>
    <mean>6.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-02-19</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-02-21</for-date>
    <mean>5.0000</mean>
    <stddev>1.6903</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-02-22</for-date>
    <mean>7.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-02-24</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-02-27</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2007-02-28</for-date>
    <mean>5.8667</mean>
    <stddev>2.4184</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2007-03-01</for-date>
    <mean>5.6667</mean>
    <stddev>2.4129</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2007-03-02</for-date>
    <mean>5.4000</mean>
    <stddev>3.2619</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-03-03</for-date>
    <mean>3.3333</mean>
    <stddev>2.6247</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-03-04</for-date>
    <mean>5.7500</mean>
    <stddev>2.8614</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-03-05</for-date>
    <mean>3.5000</mean>
    <stddev>3.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-03-06</for-date>
    <mean>6.5000</mean>
    <stddev>0.8660</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-03-07</for-date>
    <mean>2.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-03-08</for-date>
    <mean>5.2000</mean>
    <stddev>3.1241</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-03-09</for-date>
    <mean>4.3333</mean>
    <stddev>2.3570</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-03-10</for-date>
    <mean>5.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-03-11</for-date>
    <mean>4.8000</mean>
    <stddev>2.1354</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-03-12</for-date>
    <mean>5.7143</mean>
    <stddev>1.5779</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2007-03-13</for-date>
    <mean>5.1250</mean>
    <stddev>1.2686</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-03-14</for-date>
    <mean>5.1429</mean>
    <stddev>2.2946</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2007-03-15</for-date>
    <mean>5.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-03-16</for-date>
    <mean>5.7143</mean>
    <stddev>2.1853</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2007-03-17</for-date>
    <mean>5.1667</mean>
    <stddev>2.2669</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2007-03-18</for-date>
    <mean>3.3333</mean>
    <stddev>1.3744</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-03-19</for-date>
    <mean>7.0000</mean>
    <stddev>2.0976</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-03-20</for-date>
    <mean>3.8000</mean>
    <stddev>3.3106</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-03-21</for-date>
    <mean>6.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-03-22</for-date>
    <mean>7.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2007-03-23</for-date>
    <mean>6.5000</mean>
    <stddev>2.2174</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-03-24</for-date>
    <mean>5.2000</mean>
    <stddev>1.1662</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-03-25</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-03-26</for-date>
    <mean>5.7500</mean>
    <stddev>3.4911</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-03-27</for-date>
    <mean>4.3333</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-03-28</for-date>
    <mean>4.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-03-29</for-date>
    <mean>3.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-03-30</for-date>
    <mean>5.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-03-31</for-date>
    <mean>3.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-04-01</for-date>
    <mean>4.5000</mean>
    <stddev>2.1794</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-04-02</for-date>
    <mean>3.6000</mean>
    <stddev>1.6248</stddev>
  </record>
  <record>
    <n>34</n>
    <for-date>2007-04-03</for-date>
    <mean>5.2941</mean>
    <stddev>2.1493</stddev>
  </record>
  <record>
    <n>65</n>
    <for-date>2007-04-04</for-date>
    <mean>5.2462</mean>
    <stddev>2.6196</stddev>
  </record>
  <record>
    <n>66</n>
    <for-date>2007-04-05</for-date>
    <mean>4.9848</mean>
    <stddev>2.6770</stddev>
  </record>
  <record>
    <n>52</n>
    <for-date>2007-04-06</for-date>
    <mean>4.7115</mean>
    <stddev>2.4678</stddev>
  </record>
  <record>
    <n>47</n>
    <for-date>2007-04-07</for-date>
    <mean>4.7872</mean>
    <stddev>2.7049</stddev>
  </record>
  <record>
    <n>45</n>
    <for-date>2007-04-08</for-date>
    <mean>5.0444</mean>
    <stddev>2.5382</stddev>
  </record>
  <record>
    <n>57</n>
    <for-date>2007-04-09</for-date>
    <mean>4.9825</mean>
    <stddev>2.4315</stddev>
  </record>
  <record>
    <n>44</n>
    <for-date>2007-04-10</for-date>
    <mean>5.1818</mean>
    <stddev>2.3958</stddev>
  </record>
  <record>
    <n>34</n>
    <for-date>2007-04-11</for-date>
    <mean>4.7353</mean>
    <stddev>2.5473</stddev>
  </record>
  <record>
    <n>33</n>
    <for-date>2007-04-12</for-date>
    <mean>4.1212</mean>
    <stddev>2.7717</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2007-04-13</for-date>
    <mean>3.5789</mean>
    <stddev>2.6221</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2007-04-14</for-date>
    <mean>3.6111</mean>
    <stddev>2.6487</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2007-04-15</for-date>
    <mean>4.8421</mean>
    <stddev>2.8147</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2007-04-16</for-date>
    <mean>4.9444</mean>
    <stddev>2.3681</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2007-04-17</for-date>
    <mean>4.8182</mean>
    <stddev>2.8064</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2007-04-18</for-date>
    <mean>5.0000</mean>
    <stddev>3.2914</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2007-04-19</for-date>
    <mean>5.6875</mean>
    <stddev>2.1424</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2007-04-20</for-date>
    <mean>5.2273</mean>
    <stddev>2.9685</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2007-04-21</for-date>
    <mean>3.9286</mean>
    <stddev>2.6040</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2007-04-22</for-date>
    <mean>4.5556</mean>
    <stddev>2.7933</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2007-04-23</for-date>
    <mean>5.3182</mean>
    <stddev>2.6864</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2007-04-24</for-date>
    <mean>5.4000</mean>
    <stddev>3.0941</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2007-04-25</for-date>
    <mean>5.8421</mean>
    <stddev>2.3230</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2007-04-26</for-date>
    <mean>4.1333</mean>
    <stddev>2.7777</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2007-04-27</for-date>
    <mean>5.0000</mean>
    <stddev>2.8284</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2007-04-28</for-date>
    <mean>5.1111</mean>
    <stddev>2.6434</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2007-04-29</for-date>
    <mean>6.2500</mean>
    <stddev>2.5372</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2007-04-30</for-date>
    <mean>5.8462</mean>
    <stddev>2.6558</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2007-05-01</for-date>
    <mean>5.9000</mean>
    <stddev>2.6249</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2007-05-02</for-date>
    <mean>6.0000</mean>
    <stddev>3.2863</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2007-05-03</for-date>
    <mean>5.6000</mean>
    <stddev>2.0591</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2007-05-04</for-date>
    <mean>4.1818</mean>
    <stddev>2.5873</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2007-05-05</for-date>
    <mean>4.1250</mean>
    <stddev>2.1469</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2007-05-06</for-date>
    <mean>5.5833</mean>
    <stddev>2.6913</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2007-05-07</for-date>
    <mean>4.5000</mean>
    <stddev>2.0959</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2007-05-08</for-date>
    <mean>4.7778</mean>
    <stddev>2.7397</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2007-05-09</for-date>
    <mean>5.0000</mean>
    <stddev>3.1623</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2007-05-10</for-date>
    <mean>5.5833</mean>
    <stddev>3.0675</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2007-05-11</for-date>
    <mean>4.2727</mean>
    <stddev>2.2194</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-05-12</for-date>
    <mean>3.5000</mean>
    <stddev>2.2913</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2007-05-13</for-date>
    <mean>6.3750</mean>
    <stddev>2.7811</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2007-05-14</for-date>
    <mean>5.8750</mean>
    <stddev>3.4437</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2007-05-15</for-date>
    <mean>5.5455</mean>
    <stddev>2.6753</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-05-16</for-date>
    <mean>5.4286</mean>
    <stddev>2.2588</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2007-05-17</for-date>
    <mean>5.8889</mean>
    <stddev>2.4696</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-05-18</for-date>
    <mean>4.7143</mean>
    <stddev>2.6030</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2007-05-19</for-date>
    <mean>3.3333</mean>
    <stddev>2.7487</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-05-20</for-date>
    <mean>4.8000</mean>
    <stddev>2.9257</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-05-21</for-date>
    <mean>4.5714</mean>
    <stddev>3.2451</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2007-05-22</for-date>
    <mean>4.8333</mean>
    <stddev>3.2361</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-05-23</for-date>
    <mean>4.1429</mean>
    <stddev>2.5314</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2007-05-24</for-date>
    <mean>3.8750</mean>
    <stddev>3.0182</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2007-05-25</for-date>
    <mean>5.6667</mean>
    <stddev>2.7487</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-05-26</for-date>
    <mean>4.2000</mean>
    <stddev>3.1875</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-05-27</for-date>
    <mean>5.0000</mean>
    <stddev>3.6056</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-05-28</for-date>
    <mean>6.0000</mean>
    <stddev>0.7071</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-05-29</for-date>
    <mean>7.0000</mean>
    <stddev>1.8974</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2007-05-30</for-date>
    <mean>5.4286</mean>
    <stddev>2.3819</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-05-31</for-date>
    <mean>6.5000</mean>
    <stddev>2.2913</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-01</for-date>
    <mean>3.7500</mean>
    <stddev>2.1651</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-02</for-date>
    <mean>4.5000</mean>
    <stddev>2.2913</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-03</for-date>
    <mean>7.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-06-04</for-date>
    <mean>4.4000</mean>
    <stddev>2.5768</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-05</for-date>
    <mean>4.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-06</for-date>
    <mean>5.6667</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2007-06-07</for-date>
    <mean>7.6667</mean>
    <stddev>1.3744</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-08</for-date>
    <mean>4.7500</mean>
    <stddev>2.5860</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-09</for-date>
    <mean>2.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-10</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-11</for-date>
    <mean>6.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-12</for-date>
    <mean>6.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-06-13</for-date>
    <mean>6.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-14</for-date>
    <mean>3.2500</mean>
    <stddev>1.2990</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-06-15</for-date>
    <mean>4.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-16</for-date>
    <mean>3.7500</mean>
    <stddev>2.2776</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-06-17</for-date>
    <mean>5.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-18</for-date>
    <mean>5.2500</mean>
    <stddev>2.4875</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-19</for-date>
    <mean>5.6667</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2007-06-20</for-date>
    <mean>5.8000</mean>
    <stddev>2.7857</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-21</for-date>
    <mean>6.6667</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-22</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-23</for-date>
    <mean>3.6667</mean>
    <stddev>3.0912</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-24</for-date>
    <mean>4.3333</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-25</for-date>
    <mean>2.5000</mean>
    <stddev>3.2016</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-26</for-date>
    <mean>3.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-27</for-date>
    <mean>5.6667</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-06-28</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-06-29</for-date>
    <mean>2.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-06-30</for-date>
    <mean>6.0000</mean>
    <stddev>2.2361</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-01</for-date>
    <mean>3.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-02</for-date>
    <mean>3.6667</mean>
    <stddev>2.3570</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-03</for-date>
    <mean>4.6667</mean>
    <stddev>2.6247</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-07-04</for-date>
    <mean>4.2500</mean>
    <stddev>2.8614</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-05</for-date>
    <mean>2.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-07-06</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-07-07</for-date>
    <mean>3.7500</mean>
    <stddev>2.0463</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-08</for-date>
    <mean>4.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-07-09</for-date>
    <mean>2.7500</mean>
    <stddev>2.4875</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-10</for-date>
    <mean>4.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-07-11</for-date>
    <mean>4.2500</mean>
    <stddev>1.6394</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-12</for-date>
    <mean>3.3333</mean>
    <stddev>2.4944</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-13</for-date>
    <mean>5.6667</mean>
    <stddev>3.2998</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-14</for-date>
    <mean>2.6667</mean>
    <stddev>2.4944</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-15</for-date>
    <mean>2.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2007-07-16</for-date>
    <mean>2.7500</mean>
    <stddev>2.5860</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-17</for-date>
    <mean>2.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-18</for-date>
    <mean>5.6667</mean>
    <stddev>2.8674</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-19</for-date>
    <mean>4.3333</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-20</for-date>
    <mean>5.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-21</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-22</for-date>
    <mean>3.5000</mean>
    <stddev>3.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-23</for-date>
    <mean>4.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-24</for-date>
    <mean>4.3333</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-25</for-date>
    <mean>2.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-26</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-27</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-28</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-29</for-date>
    <mean>0.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-30</for-date>
    <mean>3.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-31</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-01</for-date>
    <mean>2.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-02</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-03</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-08-04</for-date>
    <mean>3.6667</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-05</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-06</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-07</for-date>
    <mean>4.0000</mean>
    <stddev>4.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-09</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-11</for-date>
    <mean>3.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-12</for-date>
    <mean>0.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-15</for-date>
    <mean>0.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-16</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-17</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-18</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-19</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-20</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-21</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-22</for-date>
    <mean>4.0000</mean>
    <stddev>4.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-23</for-date>
    <mean>6.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-24</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-25</for-date>
    <mean>1.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-26</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-27</for-date>
    <mean>0.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-28</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-30</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-09-01</for-date>
    <mean>4.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-02</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-03</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-09-05</for-date>
    <mean>5.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-06</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-07</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-09-10</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-11</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-09-12</for-date>
    <mean>8.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-13</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-14</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-26</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-10-02</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-10-25</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-11-03</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-11-09</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-11-14</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-01</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-05</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-06</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-10</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-12-12</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-13</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-14</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-15</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-16</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-17</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-19</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-22</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-12-24</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-07</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-14</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-26</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-27</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-28</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-29</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-30</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-31</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-02-06</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-02-07</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-02-16</for-date>
    <mean>4.5714</mean>
    <stddev>2.4411</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-02-17</for-date>
    <mean>5.0000</mean>
    <stddev>2.3184</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-02-18</for-date>
    <mean>4.9500</mean>
    <stddev>2.5783</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-02-19</for-date>
    <mean>5.1333</mean>
    <stddev>2.1561</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-02-20</for-date>
    <mean>6.4762</mean>
    <stddev>2.5750</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-02-21</for-date>
    <mean>5.1667</mean>
    <stddev>2.4095</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-02-22</for-date>
    <mean>4.8462</mean>
    <stddev>2.5972</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-02-23</for-date>
    <mean>4.4286</mean>
    <stddev>3.2888</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-02-24</for-date>
    <mean>2.6667</mean>
    <stddev>2.5820</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-02-25</for-date>
    <mean>5.1111</mean>
    <stddev>2.1315</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-02-26</for-date>
    <mean>3.6667</mean>
    <stddev>1.6997</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-02-27</for-date>
    <mean>5.1250</mean>
    <stddev>1.2686</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-02-28</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-02-29</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-03-01</for-date>
    <mean>4.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-03-02</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-03-03</for-date>
    <mean>5.8333</mean>
    <stddev>1.6750</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-03-04</for-date>
    <mean>6.5000</mean>
    <stddev>2.1794</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-03-05</for-date>
    <mean>5.5000</mean>
    <stddev>2.7295</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-03-06</for-date>
    <mean>4.1667</mean>
    <stddev>2.1922</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-03-07</for-date>
    <mean>5.3125</mean>
    <stddev>2.0832</stddev>
  </record>
  <record>
    <n>34</n>
    <for-date>2008-03-08</for-date>
    <mean>6.2941</mean>
    <stddev>2.7496</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-03-09</for-date>
    <mean>4.7059</mean>
    <stddev>2.8235</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2008-03-10</for-date>
    <mean>5.2400</mean>
    <stddev>2.7897</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-03-11</for-date>
    <mean>6.1111</mean>
    <stddev>2.2580</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-03-12</for-date>
    <mean>4.7826</mean>
    <stddev>1.4433</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-03-13</for-date>
    <mean>5.3529</mean>
    <stddev>1.8131</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-03-14</for-date>
    <mean>5.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-03-15</for-date>
    <mean>3.6667</mean>
    <stddev>2.4944</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-03-16</for-date>
    <mean>3.8235</mean>
    <stddev>2.6399</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-03-17</for-date>
    <mean>5.0000</mean>
    <stddev>2.4749</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-03-18</for-date>
    <mean>4.1579</mean>
    <stddev>2.3455</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-03-19</for-date>
    <mean>4.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-03-20</for-date>
    <mean>4.5455</mean>
    <stddev>2.7424</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-03-21</for-date>
    <mean>4.5000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-03-22</for-date>
    <mean>2.8750</mean>
    <stddev>1.4524</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-03-23</for-date>
    <mean>3.7143</mean>
    <stddev>3.4934</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-03-24</for-date>
    <mean>4.0909</mean>
    <stddev>2.0651</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-03-25</for-date>
    <mean>4.9000</mean>
    <stddev>3.0315</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-03-26</for-date>
    <mean>4.7000</mean>
    <stddev>1.2689</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-03-27</for-date>
    <mean>4.1667</mean>
    <stddev>2.6405</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-03-28</for-date>
    <mean>4.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-03-29</for-date>
    <mean>4.3333</mean>
    <stddev>2.7487</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-03-30</for-date>
    <mean>4.4444</mean>
    <stddev>1.7069</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-03-31</for-date>
    <mean>3.9000</mean>
    <stddev>2.0712</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-01</for-date>
    <mean>5.8750</mean>
    <stddev>2.5218</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-04-02</for-date>
    <mean>4.1000</mean>
    <stddev>2.3000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-04-03</for-date>
    <mean>6.1667</mean>
    <stddev>1.5723</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-04</for-date>
    <mean>5.1429</mean>
    <stddev>1.9588</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-04-05</for-date>
    <mean>3.5000</mean>
    <stddev>3.0957</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-04-06</for-date>
    <mean>1.7500</mean>
    <stddev>2.4875</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-07</for-date>
    <mean>3.8750</mean>
    <stddev>1.9645</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-04-08</for-date>
    <mean>5.4000</mean>
    <stddev>2.6533</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-04-09</for-date>
    <mean>4.9000</mean>
    <stddev>1.7000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-04-10</for-date>
    <mean>5.0000</mean>
    <stddev>2.0976</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-04-11</for-date>
    <mean>5.5000</mean>
    <stddev>1.8028</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-04-12</for-date>
    <mean>3.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-04-13</for-date>
    <mean>3.6667</mean>
    <stddev>1.9720</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-04-14</for-date>
    <mean>4.3333</mean>
    <stddev>2.2608</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-04-15</for-date>
    <mean>4.3333</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-16</for-date>
    <mean>5.1429</mean>
    <stddev>1.2454</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-17</for-date>
    <mean>5.5000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-18</for-date>
    <mean>4.1250</mean>
    <stddev>1.6154</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-04-19</for-date>
    <mean>4.2500</mean>
    <stddev>1.6394</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-04-20</for-date>
    <mean>4.5000</mean>
    <stddev>1.5652</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-04-21</for-date>
    <mean>4.3333</mean>
    <stddev>1.1547</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-04-22</for-date>
    <mean>3.8333</mean>
    <stddev>2.0750</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-23</for-date>
    <mean>4.5714</mean>
    <stddev>1.8406</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-04-24</for-date>
    <mean>5.2222</mean>
    <stddev>2.3934</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-25</for-date>
    <mean>3.7143</mean>
    <stddev>2.4908</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-04-26</for-date>
    <mean>4.0000</mean>
    <stddev>2.3452</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-04-27</for-date>
    <mean>4.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-04-28</for-date>
    <mean>4.3000</mean>
    <stddev>2.1932</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-29</for-date>
    <mean>5.0000</mean>
    <stddev>2.2678</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-04-30</for-date>
    <mean>6.6000</mean>
    <stddev>1.6248</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-01</for-date>
    <mean>5.5714</mean>
    <stddev>2.4990</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-05-02</for-date>
    <mean>5.2727</mean>
    <stddev>2.5969</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-03</for-date>
    <mean>4.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-04</for-date>
    <mean>4.8333</mean>
    <stddev>1.3437</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-05</for-date>
    <mean>5.1667</mean>
    <stddev>1.2134</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-06</for-date>
    <mean>6.1667</mean>
    <stddev>2.4095</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-05-07</for-date>
    <mean>4.5556</mean>
    <stddev>3.0225</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-08</for-date>
    <mean>6.0000</mean>
    <stddev>1.1952</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-09</for-date>
    <mean>3.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-10</for-date>
    <mean>4.0000</mean>
    <stddev>1.2247</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-05-11</for-date>
    <mean>4.6000</mean>
    <stddev>2.4166</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-05-12</for-date>
    <mean>5.2500</mean>
    <stddev>1.7139</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-05-13</for-date>
    <mean>6.6667</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-14</for-date>
    <mean>5.5000</mean>
    <stddev>0.9574</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-15</for-date>
    <mean>4.5714</mean>
    <stddev>1.2936</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-16</for-date>
    <mean>6.5000</mean>
    <stddev>0.9574</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-17</for-date>
    <mean>3.1667</mean>
    <stddev>2.2669</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-05-18</for-date>
    <mean>4.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-05-19</for-date>
    <mean>5.6667</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-05-20</for-date>
    <mean>5.7500</mean>
    <stddev>1.8314</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-21</for-date>
    <mean>5.3333</mean>
    <stddev>2.6874</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-22</for-date>
    <mean>5.2857</mean>
    <stddev>2.5475</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-05-23</for-date>
    <mean>4.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-05-24</for-date>
    <mean>6.6667</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-25</for-date>
    <mean>4.2857</mean>
    <stddev>2.2497</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-05-26</for-date>
    <mean>5.6250</mean>
    <stddev>1.7984</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-27</for-date>
    <mean>4.8571</mean>
    <stddev>1.4569</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-28</for-date>
    <mean>5.2857</mean>
    <stddev>2.2497</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-05-29</for-date>
    <mean>5.7000</mean>
    <stddev>2.6476</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-30</for-date>
    <mean>4.5714</mean>
    <stddev>2.1946</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-05-31</for-date>
    <mean>5.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-01</for-date>
    <mean>3.3333</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-06-02</for-date>
    <mean>5.0000</mean>
    <stddev>2.8983</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-06-03</for-date>
    <mean>4.4286</mean>
    <stddev>2.0603</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-06-04</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-06-05</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-06-06</for-date>
    <mean>3.6667</mean>
    <stddev>1.4907</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-07</for-date>
    <mean>4.0000</mean>
    <stddev>0.7071</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-08</for-date>
    <mean>3.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-06-09</for-date>
    <mean>5.0000</mean>
    <stddev>2.1213</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-10</for-date>
    <mean>3.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-11</for-date>
    <mean>7.6667</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-12</for-date>
    <mean>4.6667</mean>
    <stddev>3.2998</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-13</for-date>
    <mean>5.3333</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-06-14</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-15</for-date>
    <mean>4.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-06-16</for-date>
    <mean>3.6667</mean>
    <stddev>1.9720</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-06-17</for-date>
    <mean>4.3333</mean>
    <stddev>2.2111</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-18</for-date>
    <mean>6.6667</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-19</for-date>
    <mean>7.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-20</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-21</for-date>
    <mean>3.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-22</for-date>
    <mean>4.2500</mean>
    <stddev>2.3848</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-23</for-date>
    <mean>5.2500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-06-24</for-date>
    <mean>6.2500</mean>
    <stddev>2.7726</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-25</for-date>
    <mean>3.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-26</for-date>
    <mean>5.2500</mean>
    <stddev>2.2776</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-27</for-date>
    <mean>4.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-28</for-date>
    <mean>4.3333</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-29</for-date>
    <mean>4.5000</mean>
    <stddev>2.2913</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-06-30</for-date>
    <mean>5.1667</mean>
    <stddev>2.4095</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-01</for-date>
    <mean>3.5000</mean>
    <stddev>1.8028</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-02</for-date>
    <mean>2.2500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-03</for-date>
    <mean>4.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-04</for-date>
    <mean>4.3333</mean>
    <stddev>3.3993</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-05</for-date>
    <mean>3.3333</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-06</for-date>
    <mean>3.5000</mean>
    <stddev>3.2016</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-07</for-date>
    <mean>5.0000</mean>
    <stddev>2.1213</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-08</for-date>
    <mean>4.2500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-09</for-date>
    <mean>4.3333</mean>
    <stddev>2.6247</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-10</for-date>
    <mean>7.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-11</for-date>
    <mean>4.6667</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-12</for-date>
    <mean>4.0000</mean>
    <stddev>1.5811</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-13</for-date>
    <mean>3.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-14</for-date>
    <mean>5.0000</mean>
    <stddev>1.8708</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-07-15</for-date>
    <mean>3.4000</mean>
    <stddev>1.0198</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-16</for-date>
    <mean>4.6667</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-07-17</for-date>
    <mean>5.2000</mean>
    <stddev>1.1662</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-18</for-date>
    <mean>4.3333</mean>
    <stddev>2.4944</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-07-20</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-21</for-date>
    <mean>4.3333</mean>
    <stddev>2.8674</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-22</for-date>
    <mean>3.7500</mean>
    <stddev>1.9203</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-23</for-date>
    <mean>5.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-24</for-date>
    <mean>5.3333</mean>
    <stddev>1.6997</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-25</for-date>
    <mean>5.6667</mean>
    <stddev>2.6247</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-26</for-date>
    <mean>3.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-27</for-date>
    <mean>1.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-07-28</for-date>
    <mean>4.8000</mean>
    <stddev>1.3266</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-29</for-date>
    <mean>5.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-30</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-31</for-date>
    <mean>3.0000</mean>
    <stddev>0.7071</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-01</for-date>
    <mean>4.5000</mean>
    <stddev>3.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-02</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-03</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-04</for-date>
    <mean>8.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-08-05</for-date>
    <mean>4.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-06</for-date>
    <mean>3.3333</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-07</for-date>
    <mean>3.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-08</for-date>
    <mean>4.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-10</for-date>
    <mean>1.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-11</for-date>
    <mean>2.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-08-12</for-date>
    <mean>5.5000</mean>
    <stddev>3.0414</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-08-13</for-date>
    <mean>3.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-14</for-date>
    <mean>5.6667</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-15</for-date>
    <mean>5.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-08-16</for-date>
    <mean>4.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-17</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-18</for-date>
    <mean>5.4000</mean>
    <stddev>2.2450</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-19</for-date>
    <mean>4.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-20</for-date>
    <mean>6.6000</mean>
    <stddev>2.0591</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-21</for-date>
    <mean>6.4000</mean>
    <stddev>1.6248</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-22</for-date>
    <mean>3.8000</mean>
    <stddev>1.7205</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-23</for-date>
    <mean>5.5000</mean>
    <stddev>3.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-24</for-date>
    <mean>1.3333</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-25</for-date>
    <mean>3.8000</mean>
    <stddev>1.4697</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-08-26</for-date>
    <mean>4.6667</mean>
    <stddev>1.9720</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-27</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-08-28</for-date>
    <mean>5.6667</mean>
    <stddev>1.7951</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-29</for-date>
    <mean>3.6000</mean>
    <stddev>1.7436</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-30</for-date>
    <mean>2.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-08-31</for-date>
    <mean>3.5000</mean>
    <stddev>1.8028</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-09-01</for-date>
    <mean>3.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-09-02</for-date>
    <mean>4.1667</mean>
    <stddev>2.1922</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-09-03</for-date>
    <mean>6.0000</mean>
    <stddev>2.7386</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-09-04</for-date>
    <mean>7.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-09-05</for-date>
    <mean>4.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-09-06</for-date>
    <mean>4.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-09-07</for-date>
    <mean>3.2500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-09-08</for-date>
    <mean>4.0000</mean>
    <stddev>1.2247</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-09-09</for-date>
    <mean>5.7000</mean>
    <stddev>2.3685</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-09-10</for-date>
    <mean>5.2308</mean>
    <stddev>1.4226</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-09-11</for-date>
    <mean>4.9565</mean>
    <stddev>1.9666</stddev>
  </record>
  <record>
    <n>28</n>
    <for-date>2008-09-12</for-date>
    <mean>5.1429</mean>
    <stddev>2.6147</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-09-13</for-date>
    <mean>4.1429</mean>
    <stddev>2.5314</stddev>
  </record>
  <record>
    <n>31</n>
    <for-date>2008-09-14</for-date>
    <mean>4.0645</mean>
    <stddev>2.4748</stddev>
  </record>
  <record>
    <n>29</n>
    <for-date>2008-09-15</for-date>
    <mean>4.0000</mean>
    <stddev>2.1009</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2008-09-16</for-date>
    <mean>4.8800</mean>
    <stddev>2.3886</stddev>
  </record>
  <record>
    <n>33</n>
    <for-date>2008-09-17</for-date>
    <mean>4.9394</mean>
    <stddev>2.5219</stddev>
  </record>
  <record>
    <n>33</n>
    <for-date>2008-09-18</for-date>
    <mean>5.1212</mean>
    <stddev>2.2530</stddev>
  </record>
  <record>
    <n>29</n>
    <for-date>2008-09-19</for-date>
    <mean>4.5517</mean>
    <stddev>1.9929</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-09-20</for-date>
    <mean>3.4000</mean>
    <stddev>2.0265</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-09-21</for-date>
    <mean>3.6842</mean>
    <stddev>1.9209</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-09-22</for-date>
    <mean>3.8636</mean>
    <stddev>2.1383</stddev>
  </record>
  <record>
    <n>27</n>
    <for-date>2008-09-23</for-date>
    <mean>4.5185</mean>
    <stddev>2.2668</stddev>
  </record>
  <record>
    <n>24</n>
    <for-date>2008-09-24</for-date>
    <mean>4.9583</mean>
    <stddev>1.9035</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-09-25</for-date>
    <mean>5.1579</mean>
    <stddev>1.8141</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-09-26</for-date>
    <mean>5.0000</mean>
    <stddev>2.2254</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-09-27</for-date>
    <mean>5.0625</mean>
    <stddev>1.8864</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-09-28</for-date>
    <mean>4.7857</mean>
    <stddev>1.8966</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-09-29</for-date>
    <mean>4.3333</mean>
    <stddev>1.7817</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2008-09-30</for-date>
    <mean>5.0400</mean>
    <stddev>1.7772</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-10-01</for-date>
    <mean>4.4500</mean>
    <stddev>2.0851</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-10-02</for-date>
    <mean>4.8750</mean>
    <stddev>1.8998</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-10-03</for-date>
    <mean>5.1765</mean>
    <stddev>1.9474</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-10-04</for-date>
    <mean>4.2000</mean>
    <stddev>1.9900</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-10-05</for-date>
    <mean>4.2857</mean>
    <stddev>1.7900</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-10-06</for-date>
    <mean>4.5714</mean>
    <stddev>2.0603</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-10-07</for-date>
    <mean>5.4375</mean>
    <stddev>1.6944</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-10-08</for-date>
    <mean>4.8947</mean>
    <stddev>1.6826</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-10-09</for-date>
    <mean>4.9444</mean>
    <stddev>1.9853</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-10-10</for-date>
    <mean>4.4000</mean>
    <stddev>1.9849</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-10-11</for-date>
    <mean>4.9000</mean>
    <stddev>1.5780</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-10-12</for-date>
    <mean>4.6364</mean>
    <stddev>1.4938</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-10-13</for-date>
    <mean>4.9048</mean>
    <stddev>1.9249</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-10-14</for-date>
    <mean>4.8421</mean>
    <stddev>2.3002</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-10-15</for-date>
    <mean>4.1667</mean>
    <stddev>2.1409</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-10-16</for-date>
    <mean>4.5000</mean>
    <stddev>2.5981</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-10-17</for-date>
    <mean>4.4667</mean>
    <stddev>2.2171</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-10-18</for-date>
    <mean>3.7500</mean>
    <stddev>2.2220</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-10-19</for-date>
    <mean>3.2222</mean>
    <stddev>2.3934</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-10-20</for-date>
    <mean>4.1500</mean>
    <stddev>2.3297</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-10-21</for-date>
    <mean>5.5294</mean>
    <stddev>2.0613</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-10-22</for-date>
    <mean>4.9048</mean>
    <stddev>1.9249</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-10-23</for-date>
    <mean>5.1500</mean>
    <stddev>2.2644</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-10-24</for-date>
    <mean>4.6000</mean>
    <stddev>2.7276</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-10-25</for-date>
    <mean>4.2143</mean>
    <stddev>2.2734</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-10-26</for-date>
    <mean>5.2727</mean>
    <stddev>2.9570</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-10-27</for-date>
    <mean>5.7000</mean>
    <stddev>2.0761</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-10-28</for-date>
    <mean>5.4211</mean>
    <stddev>2.1598</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-10-29</for-date>
    <mean>4.1333</mean>
    <stddev>1.9956</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-10-30</for-date>
    <mean>4.7143</mean>
    <stddev>2.2917</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-10-31</for-date>
    <mean>4.2000</mean>
    <stddev>2.5087</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-11-01</for-date>
    <mean>4.2143</mean>
    <stddev>2.0763</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-11-02</for-date>
    <mean>3.8571</mean>
    <stddev>1.4569</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-11-03</for-date>
    <mean>4.5217</mean>
    <stddev>2.6844</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-04</for-date>
    <mean>5.8125</mean>
    <stddev>2.4036</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-11-05</for-date>
    <mean>5.2857</mean>
    <stddev>1.8681</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-11-06</for-date>
    <mean>5.0000</mean>
    <stddev>1.9403</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-07</for-date>
    <mean>4.4375</mean>
    <stddev>2.4992</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-11-08</for-date>
    <mean>4.0000</mean>
    <stddev>2.7988</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-11-09</for-date>
    <mean>5.7273</mean>
    <stddev>2.5259</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-11-10</for-date>
    <mean>4.3333</mean>
    <stddev>2.1187</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-11-11</for-date>
    <mean>5.7500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-11-12</for-date>
    <mean>4.1765</mean>
    <stddev>2.3822</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-13</for-date>
    <mean>4.7500</mean>
    <stddev>1.7500</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-11-14</for-date>
    <mean>4.0714</mean>
    <stddev>2.1535</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-11-15</for-date>
    <mean>2.8000</mean>
    <stddev>1.8868</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-11-16</for-date>
    <mean>3.9412</mean>
    <stddev>2.3129</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-11-17</for-date>
    <mean>4.5455</mean>
    <stddev>2.3106</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-11-18</for-date>
    <mean>4.4706</mean>
    <stddev>2.2523</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-11-19</for-date>
    <mean>4.2105</mean>
    <stddev>2.0411</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-11-20</for-date>
    <mean>5.4762</mean>
    <stddev>2.1071</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-11-21</for-date>
    <mean>5.2778</mean>
    <stddev>1.9092</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-11-22</for-date>
    <mean>4.2143</mean>
    <stddev>2.1440</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-11-23</for-date>
    <mean>3.2222</mean>
    <stddev>2.4845</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-11-24</for-date>
    <mean>4.6522</mean>
    <stddev>1.9915</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-11-25</for-date>
    <mean>4.2727</mean>
    <stddev>1.9113</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-26</for-date>
    <mean>4.6250</mean>
    <stddev>1.8666</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-11-27</for-date>
    <mean>4.4545</mean>
    <stddev>2.2908</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-11-28</for-date>
    <mean>4.6471</mean>
    <stddev>2.4481</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-11-29</for-date>
    <mean>4.7222</mean>
    <stddev>2.5778</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-11-30</for-date>
    <mean>4.5263</mean>
    <stddev>2.6431</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2008-12-01</for-date>
    <mean>4.8800</mean>
    <stddev>2.5506</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-12-02</for-date>
    <mean>5.0476</mean>
    <stddev>2.0811</stddev>
  </record>
  <record>
    <n>30</n>
    <for-date>2008-12-03</for-date>
    <mean>5.5000</mean>
    <stddev>2.3910</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-12-04</for-date>
    <mean>5.2778</mean>
    <stddev>2.5123</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-12-05</for-date>
    <mean>4.3810</mean>
    <stddev>2.3192</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-12-06</for-date>
    <mean>5.6000</mean>
    <stddev>2.6281</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-12-07</for-date>
    <mean>5.1429</mean>
    <stddev>2.7479</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-12-08</for-date>
    <mean>5.5333</mean>
    <stddev>2.3343</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-12-09</for-date>
    <mean>5.8125</mean>
    <stddev>2.2422</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-12-10</for-date>
    <mean>5.0000</mean>
    <stddev>2.7653</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-12-11</for-date>
    <mean>5.4706</mean>
    <stddev>2.0035</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-12-12</for-date>
    <mean>4.7273</mean>
    <stddev>2.0267</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-12-13</for-date>
    <mean>4.4286</mean>
    <stddev>2.7701</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-12-14</for-date>
    <mean>4.9091</mean>
    <stddev>2.8430</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-12-15</for-date>
    <mean>3.8824</mean>
    <stddev>2.5178</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-12-16</for-date>
    <mean>4.8824</mean>
    <stddev>2.6763</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-12-17</for-date>
    <mean>3.3846</mean>
    <stddev>2.6469</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-12-18</for-date>
    <mean>4.8000</mean>
    <stddev>3.2083</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-12-19</for-date>
    <mean>2.7143</mean>
    <stddev>2.1524</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-12-20</for-date>
    <mean>4.2308</mean>
    <stddev>2.0812</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-12-21</for-date>
    <mean>2.5000</mean>
    <stddev>1.2247</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-12-22</for-date>
    <mean>3.6429</mean>
    <stddev>2.0566</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-12-23</for-date>
    <mean>4.3846</mean>
    <stddev>2.4663</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-12-24</for-date>
    <mean>4.0000</mean>
    <stddev>2.3805</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-12-25</for-date>
    <mean>3.0000</mean>
    <stddev>2.4179</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-12-26</for-date>
    <mean>4.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-12-27</for-date>
    <mean>3.3333</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-12-28</for-date>
    <mean>4.2000</mean>
    <stddev>2.9933</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-12-29</for-date>
    <mean>3.3636</mean>
    <stddev>2.1436</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-12-30</for-date>
    <mean>4.6667</mean>
    <stddev>2.4267</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-12-31</for-date>
    <mean>3.6000</mean>
    <stddev>2.9394</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-01-01</for-date>
    <mean>5.0000</mean>
    <stddev>1.7889</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-01-02</for-date>
    <mean>4.4286</mean>
    <stddev>2.1946</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-01-03</for-date>
    <mean>4.4286</mean>
    <stddev>2.6650</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-01-04</for-date>
    <mean>5.3333</mean>
    <stddev>3.5434</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-01-05</for-date>
    <mean>5.0000</mean>
    <stddev>2.4900</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-01-06</for-date>
    <mean>5.0000</mean>
    <stddev>3.0551</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-07</for-date>
    <mean>4.3571</mean>
    <stddev>2.5803</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-08</for-date>
    <mean>4.0833</mean>
    <stddev>2.6913</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-09</for-date>
    <mean>3.5714</mean>
    <stddev>2.3819</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-01-10</for-date>
    <mean>5.1667</mean>
    <stddev>3.4359</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-11</for-date>
    <mean>3.0000</mean>
    <stddev>2.2730</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-01-12</for-date>
    <mean>4.1538</mean>
    <stddev>2.3154</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-13</for-date>
    <mean>3.7143</mean>
    <stddev>2.9623</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-01-14</for-date>
    <mean>4.6471</mean>
    <stddev>2.5191</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-01-15</for-date>
    <mean>4.8571</mean>
    <stddev>2.5873</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-16</for-date>
    <mean>5.0000</mean>
    <stddev>1.8516</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-01-17</for-date>
    <mean>3.6000</mean>
    <stddev>2.4980</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-01-18</for-date>
    <mean>4.8333</mean>
    <stddev>1.9508</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-01-19</for-date>
    <mean>5.1538</mean>
    <stddev>2.5674</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-01-20</for-date>
    <mean>4.5385</mean>
    <stddev>1.9061</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-01-21</for-date>
    <mean>5.7273</mean>
    <stddev>2.3776</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-22</for-date>
    <mean>4.4286</mean>
    <stddev>2.3212</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-01-23</for-date>
    <mean>5.6000</mean>
    <stddev>2.1848</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-01-24</for-date>
    <mean>6.3333</mean>
    <stddev>2.6874</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-25</for-date>
    <mean>4.1667</mean>
    <stddev>2.1922</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-01-26</for-date>
    <mean>4.6111</mean>
    <stddev>1.4197</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-01-27</for-date>
    <mean>4.7273</mean>
    <stddev>2.2194</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-28</for-date>
    <mean>5.1429</mean>
    <stddev>2.3255</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-01-29</for-date>
    <mean>5.5385</mean>
    <stddev>2.4374</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-30</for-date>
    <mean>4.9167</mean>
    <stddev>2.9285</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-01-31</for-date>
    <mean>3.8571</mean>
    <stddev>3.1364</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-02-01</for-date>
    <mean>5.6000</mean>
    <stddev>2.8705</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-02-02</for-date>
    <mean>4.1333</mean>
    <stddev>2.4998</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-02-03</for-date>
    <mean>4.7143</mean>
    <stddev>3.0102</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-02-04</for-date>
    <mean>5.8333</mean>
    <stddev>3.2361</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-02-05</for-date>
    <mean>4.8889</mean>
    <stddev>2.4242</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-02-06</for-date>
    <mean>5.3333</mean>
    <stddev>2.6667</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-02-07</for-date>
    <mean>5.8333</mean>
    <stddev>3.2361</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-08</for-date>
    <mean>5.6000</mean>
    <stddev>2.8705</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-02-09</for-date>
    <mean>5.2308</mean>
    <stddev>2.7218</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-10</for-date>
    <mean>6.4000</mean>
    <stddev>2.6533</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-02-11</for-date>
    <mean>5.7778</mean>
    <stddev>2.2498</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-02-12</for-date>
    <mean>4.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-02-13</for-date>
    <mean>3.1667</mean>
    <stddev>2.5766</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-02-14</for-date>
    <mean>2.1667</mean>
    <stddev>1.4625</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-02-15</for-date>
    <mean>5.4286</mean>
    <stddev>2.8714</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-16</for-date>
    <mean>4.7000</mean>
    <stddev>3.2265</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-17</for-date>
    <mean>5.5000</mean>
    <stddev>2.6552</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-02-18</for-date>
    <mean>5.3636</mean>
    <stddev>2.4223</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-02-19</for-date>
    <mean>4.9167</mean>
    <stddev>2.4650</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-02-20</for-date>
    <mean>5.2857</mean>
    <stddev>2.0504</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-02-21</for-date>
    <mean>3.8889</mean>
    <stddev>1.5947</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-02-22</for-date>
    <mean>4.0000</mean>
    <stddev>2.3905</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-23</for-date>
    <mean>3.9000</mean>
    <stddev>2.5080</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-02-24</for-date>
    <mean>5.7273</mean>
    <stddev>2.2194</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-02-25</for-date>
    <mean>4.7500</mean>
    <stddev>2.5860</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-26</for-date>
    <mean>4.9000</mean>
    <stddev>2.6249</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-02-27</for-date>
    <mean>2.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-02-28</for-date>
    <mean>3.7778</mean>
    <stddev>2.6989</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-03-01</for-date>
    <mean>3.9231</mean>
    <stddev>2.3684</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-03-02</for-date>
    <mean>4.3636</mean>
    <stddev>2.1008</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-03-03</for-date>
    <mean>6.0833</mean>
    <stddev>2.4986</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-03-04</for-date>
    <mean>4.9000</mean>
    <stddev>2.9138</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-03-05</for-date>
    <mean>5.3000</mean>
    <stddev>3.1321</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-03-06</for-date>
    <mean>3.8333</mean>
    <stddev>2.5111</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-03-07</for-date>
    <mean>3.2222</mean>
    <stddev>1.6851</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-03-08</for-date>
    <mean>3.1250</mean>
    <stddev>1.8998</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-03-09</for-date>
    <mean>3.7500</mean>
    <stddev>1.8314</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-03-10</for-date>
    <mean>5.3333</mean>
    <stddev>2.2111</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-03-11</for-date>
    <mean>4.6250</mean>
    <stddev>3.2380</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-03-12</for-date>
    <mean>5.8000</mean>
    <stddev>1.9900</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-03-13</for-date>
    <mean>3.9091</mean>
    <stddev>1.9751</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-03-14</for-date>
    <mean>4.7143</mean>
    <stddev>3.3685</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-03-15</for-date>
    <mean>6.3750</mean>
    <stddev>2.4969</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-03-16</for-date>
    <mean>5.1667</mean>
    <stddev>2.7029</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-03-17</for-date>
    <mean>5.1818</mean>
    <stddev>3.0989</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-03-18</for-date>
    <mean>5.5714</mean>
    <stddev>2.9692</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-03-19</for-date>
    <mean>5.8750</mean>
    <stddev>3.1795</stddev>
  </record>
  <record>
    <n>74</n>
    <for-date>2009-03-20</for-date>
    <mean>4.9730</mean>
    <stddev>2.6044</stddev>
  </record>
  <record>
    <n>64</n>
    <for-date>2009-03-21</for-date>
    <mean>4.1406</mean>
    <stddev>2.4677</stddev>
  </record>
  <record>
    <n>67</n>
    <for-date>2009-03-22</for-date>
    <mean>4.3731</mean>
    <stddev>2.2714</stddev>
  </record>
  <record>
    <n>51</n>
    <for-date>2009-03-23</for-date>
    <mean>5.1176</mean>
    <stddev>2.4706</stddev>
  </record>
  <record>
    <n>47</n>
    <for-date>2009-03-24</for-date>
    <mean>4.7447</mean>
    <stddev>2.7247</stddev>
  </record>
  <record>
    <n>38</n>
    <for-date>2009-03-25</for-date>
    <mean>4.8947</mean>
    <stddev>2.3818</stddev>
  </record>
  <record>
    <n>43</n>
    <for-date>2009-03-26</for-date>
    <mean>5.0000</mean>
    <stddev>2.5790</stddev>
  </record>
  <record>
    <n>36</n>
    <for-date>2009-03-27</for-date>
    <mean>4.4167</mean>
    <stddev>2.2407</stddev>
  </record>
  <record>
    <n>29</n>
    <for-date>2009-03-28</for-date>
    <mean>3.9655</mean>
    <stddev>2.4422</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2009-03-29</for-date>
    <mean>4.2800</mean>
    <stddev>2.9192</stddev>
  </record>
  <record>
    <n>36</n>
    <for-date>2009-03-30</for-date>
    <mean>5.0000</mean>
    <stddev>2.2852</stddev>
  </record>
  <record>
    <n>28</n>
    <for-date>2009-03-31</for-date>
    <mean>4.3214</mean>
    <stddev>2.0883</stddev>
  </record>
  <record>
    <n>28</n>
    <for-date>2009-04-01</for-date>
    <mean>4.7143</mean>
    <stddev>2.9260</stddev>
  </record>
  <record>
    <n>33</n>
    <for-date>2009-04-02</for-date>
    <mean>5.1818</mean>
    <stddev>2.6567</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2009-04-03</for-date>
    <mean>3.2400</mean>
    <stddev>2.0838</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-04-04</for-date>
    <mean>3.3333</mean>
    <stddev>2.2111</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-04-05</for-date>
    <mean>2.6471</mean>
    <stddev>1.7803</stddev>
  </record>
  <record>
    <n>24</n>
    <for-date>2009-04-06</for-date>
    <mean>5.1250</mean>
    <stddev>2.3684</stddev>
  </record>
  <record>
    <n>28</n>
    <for-date>2009-04-07</for-date>
    <mean>4.2500</mean>
    <stddev>2.1815</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-04-08</for-date>
    <mean>5.1176</mean>
    <stddev>2.8673</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2009-04-09</for-date>
    <mean>4.6000</mean>
    <stddev>2.6230</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-04-10</for-date>
    <mean>3.7333</mean>
    <stddev>2.9318</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-04-11</for-date>
    <mean>2.7857</mean>
    <stddev>1.3190</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-04-12</for-date>
    <mean>3.5556</mean>
    <stddev>2.1915</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-04-13</for-date>
    <mean>4.9048</mean>
    <stddev>2.8436</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-04-14</for-date>
    <mean>5.3333</mean>
    <stddev>2.9005</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-04-15</for-date>
    <mean>4.2308</mean>
    <stddev>2.8326</stddev>
  </record>
  <record>
    <n>24</n>
    <for-date>2009-04-16</for-date>
    <mean>5.0417</mean>
    <stddev>2.8059</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-04-17</for-date>
    <mean>5.2000</mean>
    <stddev>3.1454</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-04-18</for-date>
    <mean>3.8182</mean>
    <stddev>2.8226</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2009-04-19</for-date>
    <mean>4.8000</mean>
    <stddev>3.1875</stddev>
  </record>
  <record>
    <n>30</n>
    <for-date>2009-04-20</for-date>
    <mean>5.3333</mean>
    <stddev>2.6874</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-04-21</for-date>
    <mean>5.6522</mean>
    <stddev>2.5810</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-04-22</for-date>
    <mean>5.6667</mean>
    <stddev>2.6427</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2009-04-23</for-date>
    <mean>4.8500</mean>
    <stddev>2.7436</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-04-24</for-date>
    <mean>4.6667</mean>
    <stddev>2.2410</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-04-25</for-date>
    <mean>3.0588</mean>
    <stddev>1.7977</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-04-26</for-date>
    <mean>3.5294</mean>
    <stddev>3.3098</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-04-27</for-date>
    <mean>5.5714</mean>
    <stddev>2.6650</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2009-04-28</for-date>
    <mean>4.2500</mean>
    <stddev>2.3425</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-04-29</for-date>
    <mean>5.6471</mean>
    <stddev>2.7641</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-04-30</for-date>
    <mean>3.8824</mean>
    <stddev>2.2198</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-05-01</for-date>
    <mean>2.5000</mean>
    <stddev>1.6583</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-02</for-date>
    <mean>2.7143</mean>
    <stddev>2.5475</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-05-03</for-date>
    <mean>3.8750</mean>
    <stddev>2.7585</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-05-04</for-date>
    <mean>4.8333</mean>
    <stddev>2.0344</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-05-05</for-date>
    <mean>4.9048</mean>
    <stddev>2.6350</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-05-06</for-date>
    <mean>4.7143</mean>
    <stddev>2.5098</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-05-07</for-date>
    <mean>3.7500</mean>
    <stddev>1.5877</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-08</for-date>
    <mean>4.2143</mean>
    <stddev>2.7563</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2009-05-09</for-date>
    <mean>4.0500</mean>
    <stddev>1.8021</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-05-10</for-date>
    <mean>4.2222</mean>
    <stddev>2.6152</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-05-11</for-date>
    <mean>5.1111</mean>
    <stddev>2.7465</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-05-12</for-date>
    <mean>4.9474</mean>
    <stddev>2.3502</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-05-13</for-date>
    <mean>4.1304</mean>
    <stddev>2.1930</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2009-05-14</for-date>
    <mean>3.5455</mean>
    <stddev>2.5713</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2009-05-15</for-date>
    <mean>5.0500</mean>
    <stddev>2.4592</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-05-16</for-date>
    <mean>3.2500</mean>
    <stddev>2.1360</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-17</for-date>
    <mean>4.0714</mean>
    <stddev>1.9808</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2009-05-18</for-date>
    <mean>4.3182</mean>
    <stddev>2.2641</stddev>
  </record>
  <record>
    <n>26</n>
    <for-date>2009-05-19</for-date>
    <mean>4.3462</mean>
    <stddev>2.4170</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2009-05-20</for-date>
    <mean>4.8182</mean>
    <stddev>2.3863</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2009-05-21</for-date>
    <mean>4.1364</mean>
    <stddev>2.5637</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-05-22</for-date>
    <mean>5.3333</mean>
    <stddev>2.9364</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-05-23</for-date>
    <mean>3.5385</mean>
    <stddev>1.8653</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-05-24</for-date>
    <mean>3.1176</mean>
    <stddev>2.5178</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-05-25</for-date>
    <mean>4.0625</mean>
    <stddev>2.8607</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-05-26</for-date>
    <mean>4.3333</mean>
    <stddev>2.5734</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-05-27</for-date>
    <mean>4.6154</mean>
    <stddev>1.8621</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-28</for-date>
    <mean>5.1429</mean>
    <stddev>2.4453</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-05-29</for-date>
    <mean>6.4000</mean>
    <stddev>1.9596</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-05-30</for-date>
    <mean>4.7500</mean>
    <stddev>2.5372</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-31</for-date>
    <mean>3.4286</mean>
    <stddev>2.1618</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-06-01</for-date>
    <mean>4.3333</mean>
    <stddev>1.8135</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-06-02</for-date>
    <mean>4.8235</mean>
    <stddev>2.8745</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-06-03</for-date>
    <mean>4.8889</mean>
    <stddev>2.5796</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-06-04</for-date>
    <mean>5.0000</mean>
    <stddev>2.0237</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-06-05</for-date>
    <mean>5.0000</mean>
    <stddev>2.7440</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-06-06</for-date>
    <mean>5.0000</mean>
    <stddev>2.1909</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-06-07</for-date>
    <mean>4.4167</mean>
    <stddev>2.5317</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2009-06-08</for-date>
    <mean>5.5909</mean>
    <stddev>2.2895</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-06-09</for-date>
    <mean>5.6000</mean>
    <stddev>1.8547</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-06-10</for-date>
    <mean>4.9000</mean>
    <stddev>2.3854</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-06-11</for-date>
    <mean>4.2000</mean>
    <stddev>3.2187</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-06-12</for-date>
    <mean>4.8571</mean>
    <stddev>2.5031</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-06-13</for-date>
    <mean>4.0000</mean>
    <stddev>2.8868</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-06-14</for-date>
    <mean>5.0000</mean>
    <stddev>3.0237</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-06-15</for-date>
    <mean>5.0000</mean>
    <stddev>2.5420</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-06-16</for-date>
    <mean>4.2143</mean>
    <stddev>2.1771</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-17</for-date>
    <mean>5.5556</mean>
    <stddev>2.2167</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-06-18</for-date>
    <mean>7.2857</mean>
    <stddev>2.1853</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-06-19</for-date>
    <mean>5.3333</mean>
    <stddev>1.7480</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-06-20</for-date>
    <mean>3.5000</mean>
    <stddev>2.6300</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-21</for-date>
    <mean>3.1111</mean>
    <stddev>2.6010</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-06-22</for-date>
    <mean>4.7000</mean>
    <stddev>1.5524</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-06-23</for-date>
    <mean>6.0667</mean>
    <stddev>2.5682</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-06-24</for-date>
    <mean>4.3636</mean>
    <stddev>2.6722</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-06-25</for-date>
    <mean>3.5000</mean>
    <stddev>2.1095</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-26</for-date>
    <mean>4.2222</mean>
    <stddev>2.8197</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-06-27</for-date>
    <mean>3.3333</mean>
    <stddev>3.2998</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-06-28</for-date>
    <mean>4.4286</mean>
    <stddev>1.7613</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-06-29</for-date>
    <mean>4.2857</mean>
    <stddev>2.8643</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-06-30</for-date>
    <mean>4.0000</mean>
    <stddev>2.6833</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-07-01</for-date>
    <mean>2.7500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-07-02</for-date>
    <mean>5.2308</mean>
    <stddev>1.7608</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-07-03</for-date>
    <mean>3.4286</mean>
    <stddev>2.3212</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-07-04</for-date>
    <mean>5.0000</mean>
    <stddev>3.0332</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-05</for-date>
    <mean>4.5556</mean>
    <stddev>2.7532</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-07-06</for-date>
    <mean>3.6667</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-07-07</for-date>
    <mean>4.3636</mean>
    <stddev>2.1008</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-07-08</for-date>
    <mean>5.0833</mean>
    <stddev>1.9773</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-07-09</for-date>
    <mean>5.4286</mean>
    <stddev>2.4411</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-10</for-date>
    <mean>4.4444</mean>
    <stddev>1.5713</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-07-11</for-date>
    <mean>4.0000</mean>
    <stddev>2.2361</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-07-12</for-date>
    <mean>6.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-07-13</for-date>
    <mean>4.4545</mean>
    <stddev>1.7249</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-07-14</for-date>
    <mean>6.0000</mean>
    <stddev>1.8708</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-07-15</for-date>
    <mean>4.8571</mean>
    <stddev>2.8997</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-07-16</for-date>
    <mean>4.3636</mean>
    <stddev>2.4963</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-07-17</for-date>
    <mean>6.0000</mean>
    <stddev>2.3452</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-07-18</for-date>
    <mean>3.6667</mean>
    <stddev>1.6997</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-07-19</for-date>
    <mean>4.6250</mean>
    <stddev>1.7984</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-07-20</for-date>
    <mean>6.0000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-07-21</for-date>
    <mean>4.8333</mean>
    <stddev>1.0672</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-07-22</for-date>
    <mean>6.1667</mean>
    <stddev>2.2669</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-07-23</for-date>
    <mean>4.4000</mean>
    <stddev>1.0198</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-07-24</for-date>
    <mean>5.0000</mean>
    <stddev>1.9069</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-07-25</for-date>
    <mean>5.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-07-26</for-date>
    <mean>5.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-27</for-date>
    <mean>5.1111</mean>
    <stddev>2.7666</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-07-28</for-date>
    <mean>4.0000</mean>
    <stddev>3.4059</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-07-29</for-date>
    <mean>8.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-07-30</for-date>
    <mean>7.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-07-31</for-date>
    <mean>3.8333</mean>
    <stddev>2.1148</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-01</for-date>
    <mean>3.0000</mean>
    <stddev>2.2361</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-08-02</for-date>
    <mean>4.0000</mean>
    <stddev>2.2039</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-08-03</for-date>
    <mean>5.6667</mean>
    <stddev>3.2998</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-08-04</for-date>
    <mean>4.7778</mean>
    <stddev>2.9355</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-08-05</for-date>
    <mean>4.1667</mean>
    <stddev>2.9107</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-06</for-date>
    <mean>4.6000</mean>
    <stddev>2.8000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-07</for-date>
    <mean>5.2500</mean>
    <stddev>2.9475</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-08</for-date>
    <mean>7.3333</mean>
    <stddev>2.4944</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-09</for-date>
    <mean>6.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-10</for-date>
    <mean>7.2500</mean>
    <stddev>1.9203</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-11</for-date>
    <mean>3.2000</mean>
    <stddev>2.4819</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-08-12</for-date>
    <mean>4.6154</mean>
    <stddev>1.9430</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-08-13</for-date>
    <mean>4.5714</mean>
    <stddev>1.6782</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-14</for-date>
    <mean>4.2000</mean>
    <stddev>0.9798</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-15</for-date>
    <mean>2.2500</mean>
    <stddev>0.4330</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-16</for-date>
    <mean>3.4000</mean>
    <stddev>2.5768</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-08-17</for-date>
    <mean>3.5714</mean>
    <stddev>2.8714</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-08-18</for-date>
    <mean>4.2857</mean>
    <stddev>2.1189</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-19</for-date>
    <mean>4.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-20</for-date>
    <mean>5.0000</mean>
    <stddev>2.7386</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-08-21</for-date>
    <mean>4.6250</mean>
    <stddev>1.7275</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-08-22</for-date>
    <mean>10.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-23</for-date>
    <mean>4.2500</mean>
    <stddev>3.4187</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-24</for-date>
    <mean>6.7500</mean>
    <stddev>2.3848</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-25</for-date>
    <mean>6.0000</mean>
    <stddev>3.2863</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-08-26</for-date>
    <mean>5.5000</mean>
    <stddev>2.7538</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-27</for-date>
    <mean>5.6667</mean>
    <stddev>3.0912</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-28</for-date>
    <mean>4.5000</mean>
    <stddev>1.8028</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-29</for-date>
    <mean>2.2500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-30</for-date>
    <mean>4.4000</mean>
    <stddev>2.7276</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-31</for-date>
    <mean>3.7500</mean>
    <stddev>2.3848</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-09-01</for-date>
    <mean>4.4000</mean>
    <stddev>1.4967</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-09-02</for-date>
    <mean>5.2000</mean>
    <stddev>1.9391</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-03</for-date>
    <mean>5.5000</mean>
    <stddev>2.9297</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-04</for-date>
    <mean>3.5000</mean>
    <stddev>2.3629</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-09-05</for-date>
    <mean>2.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-06</for-date>
    <mean>4.2857</mean>
    <stddev>2.7105</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-07</for-date>
    <mean>5.1667</mean>
    <stddev>2.9674</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-09-08</for-date>
    <mean>5.5000</mean>
    <stddev>2.7659</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-09-09</for-date>
    <mean>4.0000</mean>
    <stddev>2.9506</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-09-10</for-date>
    <mean>2.6667</mean>
    <stddev>1.7638</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-09-11</for-date>
    <mean>5.8000</mean>
    <stddev>1.7205</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-09-12</for-date>
    <mean>3.7500</mean>
    <stddev>2.6810</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-09-13</for-date>
    <mean>4.3750</mean>
    <stddev>2.8257</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-09-14</for-date>
    <mean>4.8000</mean>
    <stddev>1.8330</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-09-15</for-date>
    <mean>4.8000</mean>
    <stddev>3.5440</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-09-16</for-date>
    <mean>3.6364</mean>
    <stddev>2.9006</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-17</for-date>
    <mean>5.8333</mean>
    <stddev>1.9508</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-09-18</for-date>
    <mean>5.9167</mean>
    <stddev>2.9569</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-19</for-date>
    <mean>2.7143</mean>
    <stddev>2.4908</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-09-20</for-date>
    <mean>3.7778</mean>
    <stddev>2.6152</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-09-21</for-date>
    <mean>6.0000</mean>
    <stddev>2.1602</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-09-22</for-date>
    <mean>5.5556</mean>
    <stddev>2.4088</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-09-23</for-date>
    <mean>5.1538</mean>
    <stddev>2.4759</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-24</for-date>
    <mean>6.5000</mean>
    <stddev>0.9574</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-09-25</for-date>
    <mean>4.0000</mean>
    <stddev>2.6458</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-09-26</for-date>
    <mean>3.7500</mean>
    <stddev>2.3848</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-27</for-date>
    <mean>4.5714</mean>
    <stddev>2.2588</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-09-28</for-date>
    <mean>5.0000</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-29</for-date>
    <mean>5.2857</mean>
    <stddev>2.0504</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-09-30</for-date>
    <mean>5.7500</mean>
    <stddev>2.6339</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-01</for-date>
    <mean>5.7143</mean>
    <stddev>2.9137</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-10-02</for-date>
    <mean>4.9000</mean>
    <stddev>1.5133</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-03</for-date>
    <mean>5.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-04</for-date>
    <mean>6.2000</mean>
    <stddev>2.4819</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-10-05</for-date>
    <mean>5.6667</mean>
    <stddev>2.3921</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-10-06</for-date>
    <mean>5.8000</mean>
    <stddev>3.1559</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-10-07</for-date>
    <mean>6.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-08</for-date>
    <mean>6.1667</mean>
    <stddev>2.7938</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-09</for-date>
    <mean>6.2000</mean>
    <stddev>2.0396</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-10</for-date>
    <mean>6.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-11</for-date>
    <mean>4.5714</mean>
    <stddev>2.9692</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-12</for-date>
    <mean>5.0000</mean>
    <stddev>3.0551</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-13</for-date>
    <mean>5.2000</mean>
    <stddev>1.1662</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-10-14</for-date>
    <mean>5.1250</mean>
    <stddev>2.0272</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-10-15</for-date>
    <mean>5.0000</mean>
    <stddev>2.1213</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-10-16</for-date>
    <mean>6.7500</mean>
    <stddev>1.9203</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-17</for-date>
    <mean>4.2000</mean>
    <stddev>3.2496</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-10-18</for-date>
    <mean>4.3333</mean>
    <stddev>2.8674</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-19</for-date>
    <mean>6.0000</mean>
    <stddev>2.3094</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-10-20</for-date>
    <mean>6.2222</mean>
    <stddev>2.5724</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-21</for-date>
    <mean>7.1429</mean>
    <stddev>1.9588</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-10-22</for-date>
    <mean>4.6250</mean>
    <stddev>1.7984</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-23</for-date>
    <mean>4.6000</mean>
    <stddev>2.4166</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-24</for-date>
    <mean>4.5000</mean>
    <stddev>1.7078</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-25</for-date>
    <mean>4.8000</mean>
    <stddev>1.7205</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-10-26</for-date>
    <mean>5.6364</mean>
    <stddev>1.8227</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-10-27</for-date>
    <mean>6.0000</mean>
    <stddev>2.1794</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-28</for-date>
    <mean>5.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-29</for-date>
    <mean>5.1667</mean>
    <stddev>2.7938</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-30</for-date>
    <mean>5.1429</mean>
    <stddev>3.0439</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-31</for-date>
    <mean>5.2000</mean>
    <stddev>3.9699</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-11-01</for-date>
    <mean>4.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-11-02</for-date>
    <mean>6.2500</mean>
    <stddev>2.9896</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-03</for-date>
    <mean>5.0000</mean>
    <stddev>1.6733</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-04</for-date>
    <mean>4.2000</mean>
    <stddev>1.1662</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-11-05</for-date>
    <mean>5.2857</mean>
    <stddev>3.3685</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-06</for-date>
    <mean>5.4000</mean>
    <stddev>3.0725</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-07</for-date>
    <mean>2.4000</mean>
    <stddev>1.3565</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-11-08</for-date>
    <mean>3.7143</mean>
    <stddev>1.9795</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-11-09</for-date>
    <mean>3.2857</mean>
    <stddev>0.8806</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-11-10</for-date>
    <mean>4.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-11</for-date>
    <mean>5.0000</mean>
    <stddev>2.3094</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-12</for-date>
    <mean>5.0000</mean>
    <stddev>3.3912</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-11-13</for-date>
    <mean>3.2857</mean>
    <stddev>1.5779</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-14</for-date>
    <mean>2.0000</mean>
    <stddev>1.2247</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-15</for-date>
    <mean>4.2500</mean>
    <stddev>2.4875</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-11-16</for-date>
    <mean>6.2500</mean>
    <stddev>2.2220</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-17</for-date>
    <mean>4.0000</mean>
    <stddev>1.2247</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-11-18</for-date>
    <mean>4.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-19</for-date>
    <mean>3.5000</mean>
    <stddev>1.7078</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-11-20</for-date>
    <mean>4.8571</mean>
    <stddev>1.4569</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-21</for-date>
    <mean>3.5000</mean>
    <stddev>1.7078</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-22</for-date>
    <mean>4.4000</mean>
    <stddev>2.3324</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-23</for-date>
    <mean>3.2500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-11-24</for-date>
    <mean>4.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-25</for-date>
    <mean>4.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-26</for-date>
    <mean>4.0000</mean>
    <stddev>1.2247</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-11-27</for-date>
    <mean>5.6667</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-11-28</for-date>
    <mean>4.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-11-29</for-date>
    <mean>4.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-30</for-date>
    <mean>3.8333</mean>
    <stddev>2.4095</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-01</for-date>
    <mean>5.6667</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-12-02</for-date>
    <mean>5.5714</mean>
    <stddev>1.4983</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-03</for-date>
    <mean>4.4000</mean>
    <stddev>2.2450</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-12-04</for-date>
    <mean>5.0000</mean>
    <stddev>2.5166</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-05</for-date>
    <mean>2.3333</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-06</for-date>
    <mean>5.6667</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-07</for-date>
    <mean>4.3333</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-08</for-date>
    <mean>5.0000</mean>
    <stddev>3.0822</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-12-09</for-date>
    <mean>4.7500</mean>
    <stddev>2.5860</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-10</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-11</for-date>
    <mean>2.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-12-12</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-13</for-date>
    <mean>4.2500</mean>
    <stddev>2.2776</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-12-14</for-date>
    <mean>5.1667</mean>
    <stddev>1.6750</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-15</for-date>
    <mean>5.0000</mean>
    <stddev>3.3912</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-16</for-date>
    <mean>3.2500</mean>
    <stddev>1.2990</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-12-17</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-18</for-date>
    <mean>5.0000</mean>
    <stddev>5.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-19</for-date>
    <mean>4.3333</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-12-20</for-date>
    <mean>4.4286</mean>
    <stddev>3.1102</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-21</for-date>
    <mean>4.2000</mean>
    <stddev>0.7483</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-22</for-date>
    <mean>4.3333</mean>
    <stddev>1.6997</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-23</for-date>
    <mean>5.8000</mean>
    <stddev>2.4819</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-24</for-date>
    <mean>2.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-25</for-date>
    <mean>1.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-27</for-date>
    <mean>2.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-28</for-date>
    <mean>4.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-12-29</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-12-30</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-12-31</for-date>
    <mean>5.7143</mean>
    <stddev>2.4328</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-01</for-date>
    <mean>2.3333</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-02</for-date>
    <mean>4.5000</mean>
    <stddev>3.2016</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-03</for-date>
    <mean>3.0000</mean>
    <stddev>2.5495</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-04</for-date>
    <mean>5.3333</mean>
    <stddev>3.6818</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-01-05</for-date>
    <mean>4.6000</mean>
    <stddev>3.3823</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-01-06</for-date>
    <mean>4.2000</mean>
    <stddev>1.1662</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-07</for-date>
    <mean>6.6667</mean>
    <stddev>2.3570</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-08</for-date>
    <mean>5.7500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-01-09</for-date>
    <mean>4.2000</mean>
    <stddev>2.3152</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2010-01-10</for-date>
    <mean>3.2857</mean>
    <stddev>2.2497</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-11</for-date>
    <mean>4.6667</mean>
    <stddev>4.1096</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-01-12</for-date>
    <mean>5.0000</mean>
    <stddev>3.0332</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-13</for-date>
    <mean>5.5000</mean>
    <stddev>1.8028</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-01-14</for-date>
    <mean>6.4000</mean>
    <stddev>1.0198</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-15</for-date>
    <mean>7.7500</mean>
    <stddev>3.3448</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-16</for-date>
    <mean>5.5000</mean>
    <stddev>2.1794</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-01-17</for-date>
    <mean>3.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-18</for-date>
    <mean>5.3333</mean>
    <stddev>2.1344</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2010-01-19</for-date>
    <mean>6.0000</mean>
    <stddev>2.3979</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2010-01-20</for-date>
    <mean>3.9000</mean>
    <stddev>1.9723</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-21</for-date>
    <mean>3.2500</mean>
    <stddev>0.4330</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2010-01-22</for-date>
    <mean>3.9091</mean>
    <stddev>2.7783</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-01-23</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-01-24</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-25</for-date>
    <mean>6.6667</mean>
    <stddev>2.4944</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-26</for-date>
    <mean>3.6667</mean>
    <stddev>3.0912</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-27</for-date>
    <mean>4.0000</mean>
    <stddev>2.1602</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-01-28</for-date>
    <mean>7.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-29</for-date>
    <mean>5.7500</mean>
    <stddev>2.6810</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-01-30</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-31</for-date>
    <mean>4.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-01</for-date>
    <mean>5.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-02-02</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-03</for-date>
    <mean>7.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-04</for-date>
    <mean>4.5000</mean>
    <stddev>4.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-05</for-date>
    <mean>7.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-06</for-date>
    <mean>4.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-07</for-date>
    <mean>1.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-09</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-10</for-date>
    <mean>4.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-12</for-date>
    <mean>5.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-13</for-date>
    <mean>4.0000</mean>
    <stddev>4.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-14</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-02-15</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-16</for-date>
    <mean>8.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-17</for-date>
    <mean>4.6667</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-02-18</for-date>
    <mean>1.2500</mean>
    <stddev>1.0897</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-19</for-date>
    <mean>2.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-02-20</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-02-21</for-date>
    <mean>2.2000</mean>
    <stddev>1.1662</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-02-22</for-date>
    <mean>4.7500</mean>
    <stddev>2.8614</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-02-23</for-date>
    <mean>3.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-02-24</for-date>
    <mean>6.0000</mean>
    <stddev>2.5166</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-26</for-date>
    <mean>6.3333</mean>
    <stddev>2.4944</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-02-27</for-date>
    <mean>4.6000</mean>
    <stddev>2.4166</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-02-28</for-date>
    <mean>4.0000</mean>
    <stddev>0.8944</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-03-01</for-date>
    <mean>4.6000</mean>
    <stddev>3.3823</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-03-02</for-date>
    <mean>6.0000</mean>
    <stddev>0.7071</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-03-03</for-date>
    <mean>5.2000</mean>
    <stddev>1.7205</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-03-04</for-date>
    <mean>4.6000</mean>
    <stddev>1.2000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-03-05</for-date>
    <mean>5.6667</mean>
    <stddev>2.6247</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-03-06</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2010-03-07</for-date>
    <mean>6.3333</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2010-03-08</for-date>
    <mean>6.1429</mean>
    <stddev>2.4159</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-03-09</for-date>
    <mean>6.3333</mean>
    <stddev>3.0912</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2010-03-10</for-date>
    <mean>4.8889</mean>
    <stddev>1.8526</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-03-11</for-date>
    <mean>4.0000</mean>
    <stddev>2.0976</stddev>
  </record>
</records>
