<?xml version="1.0" encoding="UTF-8"?>
<records type="array">
  <record>
    <n>1</n>
    <for-date>2007-05-25</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-05-27</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-05-28</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-05-29</for-date>
    <mean>5.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-05-30</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-05-31</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-01</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-02</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-04</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-05</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-07</for-date>
    <mean>4.6667</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-08</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-11</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-12</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-14</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-15</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-06-16</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-17</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-06-19</for-date>
    <mean>4.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-20</for-date>
    <mean>6.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-21</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-22</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-06-23</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-06-24</for-date>
    <mean>5.0000</mean>
    <stddev>2.1602</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-25</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-26</for-date>
    <mean>0.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-27</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-28</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-29</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-06-30</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-01</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-02</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-03</for-date>
    <mean>1.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-04</for-date>
    <mean>5.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-05</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-06</for-date>
    <mean>4.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-07</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-08</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-09</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-10</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-11</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-12</for-date>
    <mean>5.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2007-07-13</for-date>
    <mean>2.3333</mean>
    <stddev>1.6997</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-14</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-15</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-16</for-date>
    <mean>2.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-17</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-18</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-19</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-20</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-21</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-22</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-23</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-24</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-25</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-07-26</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-28</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-29</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-07-30</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-01</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-02</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-03</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-04</for-date>
    <mean>4.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-06</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-07</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-09</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-11</for-date>
    <mean>4.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-12</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-15</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-16</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-17</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-18</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-19</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-20</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-08-21</for-date>
    <mean>1.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-22</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-23</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-24</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-25</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-26</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-27</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-28</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-08-30</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-01</for-date>
    <mean>0.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-02</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-04</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-05</for-date>
    <mean>0.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-06</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-07</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2007-09-10</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</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>7.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-13</for-date>
    <mean>1.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-09-14</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-10-02</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-10-20</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-11-03</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-11-09</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2007-11-14</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-07</for-date>
    <mean>3.0000</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>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-27</for-date>
    <mean>10.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-28</for-date>
    <mean>5.0000</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>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-01-31</for-date>
    <mean>5.0000</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>6</n>
    <for-date>2008-02-16</for-date>
    <mean>5.1667</mean>
    <stddev>2.0344</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-02-17</for-date>
    <mean>5.3333</mean>
    <stddev>2.7487</stddev>
  </record>
  <record>
    <n>27</n>
    <for-date>2008-02-18</for-date>
    <mean>4.3333</mean>
    <stddev>2.1430</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-02-19</for-date>
    <mean>5.0000</mean>
    <stddev>3.0451</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-02-20</for-date>
    <mean>4.5882</mean>
    <stddev>3.0498</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-02-21</for-date>
    <mean>5.0000</mean>
    <stddev>2.6726</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-02-22</for-date>
    <mean>3.8462</mean>
    <stddev>2.2819</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-02-23</for-date>
    <mean>3.3333</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-02-24</for-date>
    <mean>5.5000</mean>
    <stddev>3.2016</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-02-25</for-date>
    <mean>4.9091</mean>
    <stddev>2.0651</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-02-26</for-date>
    <mean>4.0000</mean>
    <stddev>1.2247</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-02-27</for-date>
    <mean>5.1429</mean>
    <stddev>2.6954</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-02-28</for-date>
    <mean>3.8333</mean>
    <stddev>2.2669</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-02-29</for-date>
    <mean>3.6667</mean>
    <stddev>2.8674</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-03-01</for-date>
    <mean>4.2500</mean>
    <stddev>2.6810</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-03-02</for-date>
    <mean>5.8333</mean>
    <stddev>1.7717</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-03-03</for-date>
    <mean>3.7500</mean>
    <stddev>1.9203</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-03-04</for-date>
    <mean>4.7500</mean>
    <stddev>2.5860</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-03-05</for-date>
    <mean>4.0000</mean>
    <stddev>2.8983</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-03-06</for-date>
    <mean>4.1111</mean>
    <stddev>2.0787</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-03-07</for-date>
    <mean>3.0000</mean>
    <stddev>1.0377</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-03-08</for-date>
    <mean>4.4091</mean>
    <stddev>2.9643</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-03-09</for-date>
    <mean>6.0000</mean>
    <stddev>2.1839</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-03-10</for-date>
    <mean>5.3333</mean>
    <stddev>2.5166</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-03-11</for-date>
    <mean>4.4286</mean>
    <stddev>2.5833</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-03-12</for-date>
    <mean>4.0833</mean>
    <stddev>1.5523</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-03-13</for-date>
    <mean>3.6364</mean>
    <stddev>1.8227</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-03-14</for-date>
    <mean>3.4545</mean>
    <stddev>2.0165</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-03-15</for-date>
    <mean>5.4444</mean>
    <stddev>2.5434</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-03-16</for-date>
    <mean>5.0909</mean>
    <stddev>2.9062</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-03-17</for-date>
    <mean>4.3000</mean>
    <stddev>1.6763</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-03-18</for-date>
    <mean>4.9231</mean>
    <stddev>2.1290</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-03-19</for-date>
    <mean>4.9333</mean>
    <stddev>1.9137</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-03-20</for-date>
    <mean>3.8889</mean>
    <stddev>2.2333</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-03-21</for-date>
    <mean>5.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-03-22</for-date>
    <mean>5.6667</mean>
    <stddev>1.1055</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-03-23</for-date>
    <mean>5.2857</mean>
    <stddev>3.3258</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-03-24</for-date>
    <mean>5.5000</mean>
    <stddev>2.4324</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-03-25</for-date>
    <mean>5.0000</mean>
    <stddev>2.3205</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-03-26</for-date>
    <mean>4.5833</mean>
    <stddev>2.1779</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-03-27</for-date>
    <mean>4.9091</mean>
    <stddev>2.0651</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-03-28</for-date>
    <mean>4.5714</mean>
    <stddev>1.2936</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-03-29</for-date>
    <mean>6.7143</mean>
    <stddev>1.9795</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-03-30</for-date>
    <mean>6.8750</mean>
    <stddev>1.0533</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-03-31</for-date>
    <mean>4.6250</mean>
    <stddev>1.9961</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-04-01</for-date>
    <mean>4.8333</mean>
    <stddev>2.1922</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-02</for-date>
    <mean>3.5714</mean>
    <stddev>1.1780</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-04-03</for-date>
    <mean>5.2222</mean>
    <stddev>2.3465</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-04</for-date>
    <mean>4.7143</mean>
    <stddev>0.8806</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-04-05</for-date>
    <mean>6.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-04-06</for-date>
    <mean>4.2500</mean>
    <stddev>1.2990</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-07</for-date>
    <mean>3.8750</mean>
    <stddev>1.1659</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-04-08</for-date>
    <mean>4.2000</mean>
    <stddev>1.9900</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-04-09</for-date>
    <mean>4.8333</mean>
    <stddev>2.5441</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-10</for-date>
    <mean>4.7500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-04-11</for-date>
    <mean>4.2500</mean>
    <stddev>0.4330</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-04-12</for-date>
    <mean>7.3333</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-13</for-date>
    <mean>6.2500</mean>
    <stddev>1.9843</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-14</for-date>
    <mean>5.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-04-15</for-date>
    <mean>4.7000</mean>
    <stddev>1.2689</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-04-16</for-date>
    <mean>3.8000</mean>
    <stddev>0.7483</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-17</for-date>
    <mean>3.6250</mean>
    <stddev>1.5762</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-04-18</for-date>
    <mean>5.0000</mean>
    <stddev>1.6733</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-04-19</for-date>
    <mean>5.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-04-20</for-date>
    <mean>5.7000</mean>
    <stddev>1.2689</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-21</for-date>
    <mean>4.2500</mean>
    <stddev>1.5612</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-22</for-date>
    <mean>3.6250</mean>
    <stddev>1.4948</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-04-23</for-date>
    <mean>4.8333</mean>
    <stddev>1.0672</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-04-24</for-date>
    <mean>4.4000</mean>
    <stddev>1.6248</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-25</for-date>
    <mean>5.1429</mean>
    <stddev>1.2454</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-04-26</for-date>
    <mean>7.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-27</for-date>
    <mean>4.2857</mean>
    <stddev>1.5779</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-04-28</for-date>
    <mean>6.0000</mean>
    <stddev>2.2039</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-04-29</for-date>
    <mean>5.1250</mean>
    <stddev>1.8329</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-04-30</for-date>
    <mean>4.6000</mean>
    <stddev>1.0198</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-05-01</for-date>
    <mean>4.3750</mean>
    <stddev>1.4948</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-05-02</for-date>
    <mean>3.8000</mean>
    <stddev>3.1241</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-03</for-date>
    <mean>5.6667</mean>
    <stddev>1.5986</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-04</for-date>
    <mean>6.7500</mean>
    <stddev>2.3848</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-05-05</for-date>
    <mean>5.6250</mean>
    <stddev>2.1759</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-05-06</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-07</for-date>
    <mean>3.2500</mean>
    <stddev>1.2990</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-05-08</for-date>
    <mean>4.2000</mean>
    <stddev>2.6382</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-09</for-date>
    <mean>5.2500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-10</for-date>
    <mean>4.7500</mean>
    <stddev>2.1651</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-05-11</for-date>
    <mean>4.0000</mean>
    <stddev>2.7568</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-12</for-date>
    <mean>5.3333</mean>
    <stddev>1.7951</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-05-13</for-date>
    <mean>4.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-05-14</for-date>
    <mean>3.6000</mean>
    <stddev>0.8000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-15</for-date>
    <mean>5.0000</mean>
    <stddev>1.2247</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-16</for-date>
    <mean>2.7500</mean>
    <stddev>0.8292</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-05-17</for-date>
    <mean>4.6000</mean>
    <stddev>2.7276</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-18</for-date>
    <mean>5.5714</mean>
    <stddev>1.3997</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-19</for-date>
    <mean>2.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-05-20</for-date>
    <mean>3.7000</mean>
    <stddev>1.5524</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-05-21</for-date>
    <mean>3.0000</mean>
    <stddev>2.1602</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-22</for-date>
    <mean>4.8571</mean>
    <stddev>1.6413</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-05-23</for-date>
    <mean>2.6667</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-05-24</for-date>
    <mean>4.6667</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-25</for-date>
    <mean>6.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-26</for-date>
    <mean>4.5714</mean>
    <stddev>1.7613</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-05-27</for-date>
    <mean>5.7500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-05-28</for-date>
    <mean>3.1667</mean>
    <stddev>1.3437</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-05-29</for-date>
    <mean>4.2857</mean>
    <stddev>1.3851</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-05-30</for-date>
    <mean>4.8000</mean>
    <stddev>1.3266</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-05-31</for-date>
    <mean>3.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-01</for-date>
    <mean>5.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-02</for-date>
    <mean>3.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-06-03</for-date>
    <mean>6.4000</mean>
    <stddev>1.6248</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-06-04</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-06-06</for-date>
    <mean>4.0000</mean>
    <stddev>2.1909</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-07</for-date>
    <mean>5.0000</mean>
    <stddev>0.7071</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-06-08</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-06-09</for-date>
    <mean>4.4000</mean>
    <stddev>1.9596</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-10</for-date>
    <mean>4.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-11</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-12</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-13</for-date>
    <mean>5.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-06-14</for-date>
    <mean>0.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-15</for-date>
    <mean>6.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-16</for-date>
    <mean>5.2500</mean>
    <stddev>1.0897</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-17</for-date>
    <mean>5.0000</mean>
    <stddev>1.8708</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-18</for-date>
    <mean>5.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-19</for-date>
    <mean>5.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-06-20</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-06-21</for-date>
    <mean>5.3333</mean>
    <stddev>3.7712</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-06-22</for-date>
    <mean>7.2000</mean>
    <stddev>0.4000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-23</for-date>
    <mean>5.2500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-06-24</for-date>
    <mean>3.8000</mean>
    <stddev>0.9798</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-25</for-date>
    <mean>4.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-26</for-date>
    <mean>3.2500</mean>
    <stddev>2.0463</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-06-27</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-28</for-date>
    <mean>4.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-06-29</for-date>
    <mean>5.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2008-06-30</for-date>
    <mean>5.0000</mean>
    <stddev>1.9149</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-01</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-02</for-date>
    <mean>4.7500</mean>
    <stddev>2.0463</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-03</for-date>
    <mean>5.3333</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-04</for-date>
    <mean>5.0000</mean>
    <stddev>3.7417</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-05</for-date>
    <mean>4.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-06</for-date>
    <mean>7.0000</mean>
    <stddev>0.7071</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-07</for-date>
    <mean>5.0000</mean>
    <stddev>0.7071</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-08</for-date>
    <mean>5.2500</mean>
    <stddev>0.8292</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-09</for-date>
    <mean>3.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-10</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-11</for-date>
    <mean>4.5000</mean>
    <stddev>1.8028</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-12</for-date>
    <mean>6.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-13</for-date>
    <mean>5.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-14</for-date>
    <mean>6.0000</mean>
    <stddev>1.8708</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-07-15</for-date>
    <mean>4.5000</mean>
    <stddev>2.5981</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-16</for-date>
    <mean>5.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-17</for-date>
    <mean>5.6667</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-18</for-date>
    <mean>7.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-07-20</for-date>
    <mean>8.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-21</for-date>
    <mean>5.3333</mean>
    <stddev>2.3570</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-22</for-date>
    <mean>5.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-23</for-date>
    <mean>4.0000</mean>
    <stddev>2.8284</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-24</for-date>
    <mean>3.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-25</for-date>
    <mean>5.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-26</for-date>
    <mean>7.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-27</for-date>
    <mean>3.3333</mean>
    <stddev>3.3993</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-07-28</for-date>
    <mean>6.0000</mean>
    <stddev>2.1909</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-07-29</for-date>
    <mean>4.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-07-30</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-07-31</for-date>
    <mean>3.6667</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-01</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-02</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-04</for-date>
    <mean>10.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-05</for-date>
    <mean>5.8000</mean>
    <stddev>2.7129</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-06</for-date>
    <mean>8.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-07</for-date>
    <mean>7.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-08</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-10</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-11</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-12</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-13</for-date>
    <mean>3.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-14</for-date>
    <mean>7.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-15</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-16</for-date>
    <mean>5.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-17</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-18</for-date>
    <mean>5.0000</mean>
    <stddev>2.2804</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-19</for-date>
    <mean>7.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-20</for-date>
    <mean>3.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-21</for-date>
    <mean>4.5000</mean>
    <stddev>2.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-08-22</for-date>
    <mean>6.2500</mean>
    <stddev>2.1651</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-23</for-date>
    <mean>7.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-24</for-date>
    <mean>6.3333</mean>
    <stddev>2.6247</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-08-25</for-date>
    <mean>4.4000</mean>
    <stddev>1.7436</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-26</for-date>
    <mean>5.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-08-27</for-date>
    <mean>6.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-08-28</for-date>
    <mean>5.0000</mean>
    <stddev>2.1213</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-08-29</for-date>
    <mean>7.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-08-31</for-date>
    <mean>5.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-09-01</for-date>
    <mean>7.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-09-02</for-date>
    <mean>7.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-09-03</for-date>
    <mean>6.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-09-04</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2008-09-05</for-date>
    <mean>3.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2008-09-06</for-date>
    <mean>4.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2008-09-07</for-date>
    <mean>7.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-09-08</for-date>
    <mean>5.7500</mean>
    <stddev>2.0463</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2008-09-09</for-date>
    <mean>4.4000</mean>
    <stddev>2.5768</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-09-10</for-date>
    <mean>3.4545</mean>
    <stddev>2.1475</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-09-11</for-date>
    <mean>5.1176</mean>
    <stddev>2.4467</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-09-12</for-date>
    <mean>4.3636</mean>
    <stddev>2.0124</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-09-13</for-date>
    <mean>5.9231</mean>
    <stddev>1.7742</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2008-09-14</for-date>
    <mean>5.6800</mean>
    <stddev>2.3617</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-09-15</for-date>
    <mean>5.1818</mean>
    <stddev>2.3088</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-09-16</for-date>
    <mean>5.5652</mean>
    <stddev>2.3559</stddev>
  </record>
  <record>
    <n>30</n>
    <for-date>2008-09-17</for-date>
    <mean>4.5000</mean>
    <stddev>2.2323</stddev>
  </record>
  <record>
    <n>30</n>
    <for-date>2008-09-18</for-date>
    <mean>4.1667</mean>
    <stddev>2.2669</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-09-19</for-date>
    <mean>4.2500</mean>
    <stddev>1.9203</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-09-20</for-date>
    <mean>5.1000</mean>
    <stddev>2.8089</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-09-21</for-date>
    <mean>5.7647</mean>
    <stddev>2.4382</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-09-22</for-date>
    <mean>4.7895</mean>
    <stddev>1.8519</stddev>
  </record>
  <record>
    <n>28</n>
    <for-date>2008-09-23</for-date>
    <mean>4.2857</mean>
    <stddev>2.2812</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-09-24</for-date>
    <mean>4.0435</mean>
    <stddev>2.2742</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-09-25</for-date>
    <mean>4.0000</mean>
    <stddev>2.2079</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-09-26</for-date>
    <mean>4.6250</mean>
    <stddev>2.5709</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-09-27</for-date>
    <mean>5.6667</mean>
    <stddev>2.0817</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-09-28</for-date>
    <mean>4.7059</mean>
    <stddev>2.5842</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2008-09-29</for-date>
    <mean>4.8000</mean>
    <stddev>2.5298</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-09-30</for-date>
    <mean>4.5455</mean>
    <stddev>2.6238</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-10-01</for-date>
    <mean>3.5000</mean>
    <stddev>2.3884</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-10-02</for-date>
    <mean>5.2222</mean>
    <stddev>2.0428</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-10-03</for-date>
    <mean>4.7143</mean>
    <stddev>2.2497</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-10-04</for-date>
    <mean>5.4444</mean>
    <stddev>2.7126</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-10-05</for-date>
    <mean>5.3077</mean>
    <stddev>2.1262</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-10-06</for-date>
    <mean>3.6923</mean>
    <stddev>2.1974</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-10-07</for-date>
    <mean>3.1176</mean>
    <stddev>1.9669</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-10-08</for-date>
    <mean>4.9412</mean>
    <stddev>2.3632</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-10-09</for-date>
    <mean>4.7222</mean>
    <stddev>2.7245</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-10-10</for-date>
    <mean>5.1053</mean>
    <stddev>2.2218</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2008-10-11</for-date>
    <mean>4.8750</mean>
    <stddev>1.8329</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-10-12</for-date>
    <mean>4.9333</mean>
    <stddev>2.2351</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-10-13</for-date>
    <mean>5.0526</mean>
    <stddev>2.1145</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-10-14</for-date>
    <mean>4.8421</mean>
    <stddev>2.0587</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-10-15</for-date>
    <mean>4.7333</mean>
    <stddev>2.1124</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-10-16</for-date>
    <mean>4.0667</mean>
    <stddev>2.4349</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-10-17</for-date>
    <mean>5.0000</mean>
    <stddev>2.7809</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-10-18</for-date>
    <mean>4.1818</mean>
    <stddev>1.7999</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-10-19</for-date>
    <mean>4.6154</mean>
    <stddev>2.6469</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-10-20</for-date>
    <mean>4.0000</mean>
    <stddev>2.0917</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-10-21</for-date>
    <mean>5.1111</mean>
    <stddev>2.3067</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-10-22</for-date>
    <mean>4.1053</mean>
    <stddev>1.9972</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-10-23</for-date>
    <mean>4.6471</mean>
    <stddev>2.0275</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-10-24</for-date>
    <mean>4.1905</mean>
    <stddev>2.6836</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-10-25</for-date>
    <mean>4.6667</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-10-26</for-date>
    <mean>4.9286</mean>
    <stddev>2.0862</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-10-27</for-date>
    <mean>4.8500</mean>
    <stddev>2.3511</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-10-28</for-date>
    <mean>5.0435</mean>
    <stddev>2.7263</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-10-29</for-date>
    <mean>5.8462</mean>
    <stddev>2.5373</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-10-30</for-date>
    <mean>5.3000</mean>
    <stddev>2.2605</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-10-31</for-date>
    <mean>5.1250</mean>
    <stddev>2.3419</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-11-01</for-date>
    <mean>4.2941</mean>
    <stddev>2.5150</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-11-02</for-date>
    <mean>5.0000</mean>
    <stddev>2.5226</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2008-11-03</for-date>
    <mean>4.4286</mean>
    <stddev>2.5925</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-11-04</for-date>
    <mean>4.9333</mean>
    <stddev>2.0806</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-05</for-date>
    <mean>3.9375</mean>
    <stddev>2.4867</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-11-06</for-date>
    <mean>4.8824</mean>
    <stddev>2.2198</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-11-07</for-date>
    <mean>5.5000</mean>
    <stddev>1.7627</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-11-08</for-date>
    <mean>5.3846</mean>
    <stddev>2.7607</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-09</for-date>
    <mean>6.5625</mean>
    <stddev>2.1497</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-11-10</for-date>
    <mean>4.5714</mean>
    <stddev>1.6351</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-11-11</for-date>
    <mean>4.6000</mean>
    <stddev>1.5832</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-11-12</for-date>
    <mean>4.7778</mean>
    <stddev>1.9595</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-11-13</for-date>
    <mean>5.0588</mean>
    <stddev>1.7647</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-14</for-date>
    <mean>4.3125</mean>
    <stddev>2.2000</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-11-15</for-date>
    <mean>5.9167</mean>
    <stddev>1.4977</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-11-16</for-date>
    <mean>6.1500</mean>
    <stddev>1.9564</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-11-17</for-date>
    <mean>4.7368</mean>
    <stddev>1.8593</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-18</for-date>
    <mean>3.6250</mean>
    <stddev>1.5762</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-19</for-date>
    <mean>4.0000</mean>
    <stddev>1.8028</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-11-20</for-date>
    <mean>4.8333</mean>
    <stddev>2.4324</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-11-21</for-date>
    <mean>4.9231</mean>
    <stddev>1.8999</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-11-22</for-date>
    <mean>5.5000</mean>
    <stddev>2.1794</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-11-23</for-date>
    <mean>4.5000</mean>
    <stddev>2.9749</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-11-24</for-date>
    <mean>4.1111</mean>
    <stddev>2.2825</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-11-25</for-date>
    <mean>4.1111</mean>
    <stddev>2.8458</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-11-26</for-date>
    <mean>5.0556</mean>
    <stddev>2.1466</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-11-27</for-date>
    <mean>5.7826</mean>
    <stddev>2.1459</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-11-28</for-date>
    <mean>5.7368</mean>
    <stddev>2.4027</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2008-11-29</for-date>
    <mean>5.6667</mean>
    <stddev>2.7183</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2008-11-30</for-date>
    <mean>4.9500</mean>
    <stddev>2.2688</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-12-01</for-date>
    <mean>4.4783</mean>
    <stddev>1.8385</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2008-12-02</for-date>
    <mean>5.0000</mean>
    <stddev>2.2842</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2008-12-03</for-date>
    <mean>4.6800</mean>
    <stddev>2.5254</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-12-04</for-date>
    <mean>4.7368</mean>
    <stddev>2.2674</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-12-05</for-date>
    <mean>4.7059</mean>
    <stddev>2.2430</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-12-06</for-date>
    <mean>6.6429</mean>
    <stddev>2.2235</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-12-07</for-date>
    <mean>5.7857</mean>
    <stddev>2.1440</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-12-08</for-date>
    <mean>4.0714</mean>
    <stddev>1.9808</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-12-09</for-date>
    <mean>4.8125</mean>
    <stddev>1.4671</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2008-12-10</for-date>
    <mean>4.7895</mean>
    <stddev>2.6868</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2008-12-11</for-date>
    <mean>5.5455</mean>
    <stddev>2.4069</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-12-12</for-date>
    <mean>5.6111</mean>
    <stddev>1.8601</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-12-13</for-date>
    <mean>6.0000</mean>
    <stddev>2.0292</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2008-12-14</for-date>
    <mean>6.1667</mean>
    <stddev>2.4324</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2008-12-15</for-date>
    <mean>5.1765</mean>
    <stddev>2.4790</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-12-16</for-date>
    <mean>4.4615</mean>
    <stddev>1.8236</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2008-12-17</for-date>
    <mean>5.5333</mean>
    <stddev>2.3627</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-12-18</for-date>
    <mean>5.1538</mean>
    <stddev>1.7028</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2008-12-19</for-date>
    <mean>5.4375</mean>
    <stddev>2.1204</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-12-20</for-date>
    <mean>5.5455</mean>
    <stddev>1.7249</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-12-21</for-date>
    <mean>5.7000</mean>
    <stddev>1.1874</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-12-22</for-date>
    <mean>5.1538</mean>
    <stddev>1.9941</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2008-12-23</for-date>
    <mean>5.1818</mean>
    <stddev>2.3284</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-12-24</for-date>
    <mean>4.4444</mean>
    <stddev>2.6294</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2008-12-25</for-date>
    <mean>4.7857</mean>
    <stddev>2.0064</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2008-12-26</for-date>
    <mean>6.0000</mean>
    <stddev>1.5492</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2008-12-27</for-date>
    <mean>5.5556</mean>
    <stddev>1.5713</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-12-28</for-date>
    <mean>5.7500</mean>
    <stddev>1.6394</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2008-12-29</for-date>
    <mean>5.1538</mean>
    <stddev>1.9941</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2008-12-30</for-date>
    <mean>5.0000</mean>
    <stddev>1.8708</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2008-12-31</for-date>
    <mean>5.1429</mean>
    <stddev>2.2946</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-01-01</for-date>
    <mean>3.2500</mean>
    <stddev>1.7139</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-01-02</for-date>
    <mean>4.8889</mean>
    <stddev>1.3699</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-01-03</for-date>
    <mean>5.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-01-04</for-date>
    <mean>5.2000</mean>
    <stddev>2.5612</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-05</for-date>
    <mean>4.2500</mean>
    <stddev>2.1262</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-01-06</for-date>
    <mean>5.0000</mean>
    <stddev>1.8708</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-07</for-date>
    <mean>5.7143</mean>
    <stddev>2.2497</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-08</for-date>
    <mean>6.0000</mean>
    <stddev>2.2361</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-01-09</for-date>
    <mean>5.5455</mean>
    <stddev>1.6713</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-01-10</for-date>
    <mean>6.0000</mean>
    <stddev>1.5811</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-01-11</for-date>
    <mean>6.4444</mean>
    <stddev>1.4229</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-01-12</for-date>
    <mean>5.3846</mean>
    <stddev>2.1675</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-13</for-date>
    <mean>5.6429</mean>
    <stddev>2.5525</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-01-14</for-date>
    <mean>4.6000</mean>
    <stddev>1.8903</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-01-15</for-date>
    <mean>2.8000</mean>
    <stddev>1.1662</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-01-16</for-date>
    <mean>3.9231</mean>
    <stddev>1.8999</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-17</for-date>
    <mean>6.1667</mean>
    <stddev>3.0505</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-01-18</for-date>
    <mean>6.5556</mean>
    <stddev>2.3147</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-01-19</for-date>
    <mean>5.2308</mean>
    <stddev>2.1178</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-01-20</for-date>
    <mean>5.6364</mean>
    <stddev>2.0124</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-01-21</for-date>
    <mean>5.3000</mean>
    <stddev>2.1932</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-22</for-date>
    <mean>4.1667</mean>
    <stddev>1.8634</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-01-23</for-date>
    <mean>4.8125</mean>
    <stddev>2.1569</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-01-24</for-date>
    <mean>5.5714</mean>
    <stddev>1.5908</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-25</for-date>
    <mean>5.1429</mean>
    <stddev>1.7261</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-01-26</for-date>
    <mean>5.0714</mean>
    <stddev>1.8695</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-01-27</for-date>
    <mean>6.1538</mean>
    <stddev>1.8333</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-01-28</for-date>
    <mean>5.1667</mean>
    <stddev>2.4095</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-01-29</for-date>
    <mean>4.8000</mean>
    <stddev>1.5362</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-01-30</for-date>
    <mean>5.7273</mean>
    <stddev>1.9582</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-01-31</for-date>
    <mean>5.7143</mean>
    <stddev>2.0504</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-02-01</for-date>
    <mean>4.7500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-02-02</for-date>
    <mean>4.6154</mean>
    <stddev>2.1318</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-02-03</for-date>
    <mean>4.4545</mean>
    <stddev>1.3727</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-02-04</for-date>
    <mean>6.1667</mean>
    <stddev>1.7717</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-05</for-date>
    <mean>4.6000</mean>
    <stddev>1.4967</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-02-06</for-date>
    <mean>5.1250</mean>
    <stddev>1.1659</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-02-07</for-date>
    <mean>4.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-02-08</for-date>
    <mean>4.4000</mean>
    <stddev>2.8705</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-09</for-date>
    <mean>5.4000</mean>
    <stddev>2.2000</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-10</for-date>
    <mean>4.9000</mean>
    <stddev>1.7578</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-02-11</for-date>
    <mean>5.7500</mean>
    <stddev>1.6394</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-02-12</for-date>
    <mean>5.8571</mean>
    <stddev>1.7261</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-13</for-date>
    <mean>6.0000</mean>
    <stddev>2.1909</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-02-14</for-date>
    <mean>5.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-02-15</for-date>
    <mean>5.8571</mean>
    <stddev>1.8844</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-02-16</for-date>
    <mean>5.4444</mean>
    <stddev>2.1660</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-02-17</for-date>
    <mean>3.7778</mean>
    <stddev>1.3147</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-02-18</for-date>
    <mean>4.7500</mean>
    <stddev>1.5612</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-02-19</for-date>
    <mean>5.3333</mean>
    <stddev>2.8674</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-02-20</for-date>
    <mean>5.1429</mean>
    <stddev>2.0304</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-02-21</for-date>
    <mean>5.1667</mean>
    <stddev>1.5723</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-02-22</for-date>
    <mean>7.0000</mean>
    <stddev>1.8708</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-02-23</for-date>
    <mean>4.5000</mean>
    <stddev>2.3345</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-02-24</for-date>
    <mean>4.8750</mean>
    <stddev>2.0272</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-02-25</for-date>
    <mean>4.5000</mean>
    <stddev>1.7078</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-02-26</for-date>
    <mean>6.2857</mean>
    <stddev>0.8806</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-02-27</for-date>
    <mean>5.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-02-28</for-date>
    <mean>5.5000</mean>
    <stddev>2.1794</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-03-01</for-date>
    <mean>5.4167</mean>
    <stddev>1.4410</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-03-02</for-date>
    <mean>4.7000</mean>
    <stddev>2.0518</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-03-03</for-date>
    <mean>6.8182</mean>
    <stddev>2.3284</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-03-04</for-date>
    <mean>6.0000</mean>
    <stddev>1.8708</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-03-05</for-date>
    <mean>4.7000</mean>
    <stddev>2.1000</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-03-06</for-date>
    <mean>5.0000</mean>
    <stddev>2.0449</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-03-07</for-date>
    <mean>3.8333</mean>
    <stddev>2.2669</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-03-08</for-date>
    <mean>5.6000</mean>
    <stddev>1.4967</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-03-09</for-date>
    <mean>5.0000</mean>
    <stddev>2.6458</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-03-10</for-date>
    <mean>5.2000</mean>
    <stddev>2.3152</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-03-11</for-date>
    <mean>4.1429</mean>
    <stddev>1.8844</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-03-12</for-date>
    <mean>4.7500</mean>
    <stddev>1.8540</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-03-13</for-date>
    <mean>5.4444</mean>
    <stddev>1.7069</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-03-14</for-date>
    <mean>2.8333</mean>
    <stddev>2.5441</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-03-15</for-date>
    <mean>6.2000</mean>
    <stddev>3.4871</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-03-16</for-date>
    <mean>4.7273</mean>
    <stddev>2.4529</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-03-17</for-date>
    <mean>5.6667</mean>
    <stddev>2.2111</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-03-18</for-date>
    <mean>4.5714</mean>
    <stddev>2.1946</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-03-19</for-date>
    <mean>4.7143</mean>
    <stddev>2.7105</stddev>
  </record>
  <record>
    <n>71</n>
    <for-date>2009-03-20</for-date>
    <mean>5.0282</mean>
    <stddev>2.2453</stddev>
  </record>
  <record>
    <n>70</n>
    <for-date>2009-03-21</for-date>
    <mean>5.4429</mean>
    <stddev>2.5051</stddev>
  </record>
  <record>
    <n>60</n>
    <for-date>2009-03-22</for-date>
    <mean>6.0167</mean>
    <stddev>2.2839</stddev>
  </record>
  <record>
    <n>46</n>
    <for-date>2009-03-23</for-date>
    <mean>5.3043</mean>
    <stddev>2.3579</stddev>
  </record>
  <record>
    <n>37</n>
    <for-date>2009-03-24</for-date>
    <mean>5.1081</mean>
    <stddev>2.3108</stddev>
  </record>
  <record>
    <n>39</n>
    <for-date>2009-03-25</for-date>
    <mean>4.7692</mean>
    <stddev>2.5264</stddev>
  </record>
  <record>
    <n>36</n>
    <for-date>2009-03-26</for-date>
    <mean>5.4444</mean>
    <stddev>2.4432</stddev>
  </record>
  <record>
    <n>35</n>
    <for-date>2009-03-27</for-date>
    <mean>5.8286</mean>
    <stddev>2.2359</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2009-03-28</for-date>
    <mean>5.6400</mean>
    <stddev>2.5121</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-03-29</for-date>
    <mean>6.2609</mean>
    <stddev>1.6210</stddev>
  </record>
  <record>
    <n>32</n>
    <for-date>2009-03-30</for-date>
    <mean>5.5625</mean>
    <stddev>2.1056</stddev>
  </record>
  <record>
    <n>25</n>
    <for-date>2009-03-31</for-date>
    <mean>5.4400</mean>
    <stddev>2.1369</stddev>
  </record>
  <record>
    <n>24</n>
    <for-date>2009-04-01</for-date>
    <mean>4.9583</mean>
    <stddev>2.2450</stddev>
  </record>
  <record>
    <n>32</n>
    <for-date>2009-04-02</for-date>
    <mean>4.4063</mean>
    <stddev>2.0442</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-04-03</for-date>
    <mean>5.5217</mean>
    <stddev>2.4472</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-04-04</for-date>
    <mean>6.1250</mean>
    <stddev>1.9645</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2009-04-05</for-date>
    <mean>5.3500</mean>
    <stddev>2.3297</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-04-06</for-date>
    <mean>4.6087</mean>
    <stddev>2.3357</stddev>
  </record>
  <record>
    <n>27</n>
    <for-date>2009-04-07</for-date>
    <mean>5.8519</mean>
    <stddev>2.0313</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-04-08</for-date>
    <mean>5.2941</mean>
    <stddev>1.9331</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-04-09</for-date>
    <mean>4.6522</mean>
    <stddev>2.4779</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-04-10</for-date>
    <mean>5.6875</mean>
    <stddev>2.5426</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-04-11</for-date>
    <mean>5.7778</mean>
    <stddev>2.3701</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2009-04-12</for-date>
    <mean>6.2000</mean>
    <stddev>2.1587</stddev>
  </record>
  <record>
    <n>26</n>
    <for-date>2009-04-13</for-date>
    <mean>4.6923</mean>
    <stddev>2.3000</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-04-14</for-date>
    <mean>5.0000</mean>
    <stddev>2.7338</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-04-15</for-date>
    <mean>4.2222</mean>
    <stddev>1.8426</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2009-04-16</for-date>
    <mean>4.9545</mean>
    <stddev>2.0333</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-04-17</for-date>
    <mean>5.4375</mean>
    <stddev>2.7150</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-04-18</for-date>
    <mean>5.8462</mean>
    <stddev>1.9154</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-04-19</for-date>
    <mean>6.0526</mean>
    <stddev>2.5848</stddev>
  </record>
  <record>
    <n>30</n>
    <for-date>2009-04-20</for-date>
    <mean>5.0333</mean>
    <stddev>2.3164</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-04-21</for-date>
    <mean>5.0000</mean>
    <stddev>1.8178</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-04-22</for-date>
    <mean>5.1579</mean>
    <stddev>2.1092</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-04-23</for-date>
    <mean>4.8421</mean>
    <stddev>2.2305</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-04-24</for-date>
    <mean>4.9474</mean>
    <stddev>2.3277</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-04-25</for-date>
    <mean>5.5000</mean>
    <stddev>2.0125</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-04-26</for-date>
    <mean>5.6667</mean>
    <stddev>3.0258</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-04-27</for-date>
    <mean>4.7391</mean>
    <stddev>2.6080</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-04-28</for-date>
    <mean>4.4286</mean>
    <stddev>2.0603</stddev>
  </record>
  <record>
    <n>22</n>
    <for-date>2009-04-29</for-date>
    <mean>4.8636</mean>
    <stddev>2.1169</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-04-30</for-date>
    <mean>5.1579</mean>
    <stddev>1.6941</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-05-01</for-date>
    <mean>5.3125</mean>
    <stddev>1.8275</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-05-02</for-date>
    <mean>6.1111</mean>
    <stddev>2.0787</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-05-03</for-date>
    <mean>5.3333</mean>
    <stddev>2.5473</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-05-04</for-date>
    <mean>4.0952</mean>
    <stddev>2.7413</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-05-05</for-date>
    <mean>5.5882</mean>
    <stddev>2.6802</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-05-06</for-date>
    <mean>4.6875</mean>
    <stddev>2.2282</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-05-07</for-date>
    <mean>5.0833</mean>
    <stddev>1.8911</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-05-08</for-date>
    <mean>5.2727</mean>
    <stddev>1.7104</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-05-09</for-date>
    <mean>5.1176</mean>
    <stddev>2.3485</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-05-10</for-date>
    <mean>5.3158</mean>
    <stddev>2.4073</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-05-11</for-date>
    <mean>4.6842</mean>
    <stddev>2.1534</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-12</for-date>
    <mean>4.7143</mean>
    <stddev>1.9795</stddev>
  </record>
  <record>
    <n>19</n>
    <for-date>2009-05-13</for-date>
    <mean>5.7368</mean>
    <stddev>2.4027</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-05-14</for-date>
    <mean>5.0556</mean>
    <stddev>1.9571</stddev>
  </record>
  <record>
    <n>20</n>
    <for-date>2009-05-15</for-date>
    <mean>4.9000</mean>
    <stddev>2.5671</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-05-16</for-date>
    <mean>5.6667</mean>
    <stddev>1.9206</stddev>
  </record>
  <record>
    <n>21</n>
    <for-date>2009-05-17</for-date>
    <mean>5.6190</mean>
    <stddev>2.9354</stddev>
  </record>
  <record>
    <n>23</n>
    <for-date>2009-05-18</for-date>
    <mean>5.6522</mean>
    <stddev>2.1388</stddev>
  </record>
  <record>
    <n>29</n>
    <for-date>2009-05-19</for-date>
    <mean>5.4828</mean>
    <stddev>2.2987</stddev>
  </record>
  <record>
    <n>24</n>
    <for-date>2009-05-20</for-date>
    <mean>5.3333</mean>
    <stddev>2.4777</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-05-21</for-date>
    <mean>5.0000</mean>
    <stddev>2.2229</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-22</for-date>
    <mean>5.5714</mean>
    <stddev>2.4990</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-05-23</for-date>
    <mean>5.1538</mean>
    <stddev>2.5972</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-05-24</for-date>
    <mean>5.8125</mean>
    <stddev>1.6665</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-05-25</for-date>
    <mean>5.4000</mean>
    <stddev>2.4440</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-26</for-date>
    <mean>5.9286</mean>
    <stddev>2.0862</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-05-27</for-date>
    <mean>4.7692</mean>
    <stddev>2.0059</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-05-28</for-date>
    <mean>5.1765</mean>
    <stddev>2.0647</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-05-29</for-date>
    <mean>4.1667</mean>
    <stddev>2.9392</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-05-30</for-date>
    <mean>7.1000</mean>
    <stddev>1.8682</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-05-31</for-date>
    <mean>5.7857</mean>
    <stddev>2.3354</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-06-01</for-date>
    <mean>5.9333</mean>
    <stddev>3.0214</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-06-02</for-date>
    <mean>5.9286</mean>
    <stddev>2.5485</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-06-03</for-date>
    <mean>4.9412</mean>
    <stddev>2.9994</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-06-04</for-date>
    <mean>5.2941</mean>
    <stddev>2.5842</stddev>
  </record>
  <record>
    <n>17</n>
    <for-date>2009-06-05</for-date>
    <mean>5.7059</mean>
    <stddev>2.7174</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-06-06</for-date>
    <mean>6.0000</mean>
    <stddev>2.8723</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-06-07</for-date>
    <mean>4.5455</mean>
    <stddev>2.5357</stddev>
  </record>
  <record>
    <n>18</n>
    <for-date>2009-06-08</for-date>
    <mean>5.6667</mean>
    <stddev>3.2489</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-06-09</for-date>
    <mean>5.8750</mean>
    <stddev>2.4717</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-06-10</for-date>
    <mean>5.6667</mean>
    <stddev>2.9250</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-06-11</for-date>
    <mean>6.0667</mean>
    <stddev>3.1930</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-06-12</for-date>
    <mean>6.5385</mean>
    <stddev>2.6491</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-13</for-date>
    <mean>5.4444</mean>
    <stddev>3.7152</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-14</for-date>
    <mean>6.0000</mean>
    <stddev>2.3570</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-06-15</for-date>
    <mean>6.2143</mean>
    <stddev>2.3046</stddev>
  </record>
  <record>
    <n>15</n>
    <for-date>2009-06-16</for-date>
    <mean>6.4000</mean>
    <stddev>2.5768</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-06-17</for-date>
    <mean>5.7500</mean>
    <stddev>3.1918</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-18</for-date>
    <mean>4.7778</mean>
    <stddev>3.2241</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-06-19</for-date>
    <mean>4.9167</mean>
    <stddev>2.6913</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-06-20</for-date>
    <mean>7.0000</mean>
    <stddev>2.9665</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-06-21</for-date>
    <mean>5.8000</mean>
    <stddev>2.0881</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-06-22</for-date>
    <mean>4.6923</mean>
    <stddev>2.7283</stddev>
  </record>
  <record>
    <n>13</n>
    <for-date>2009-06-23</for-date>
    <mean>5.2308</mean>
    <stddev>2.9653</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-06-24</for-date>
    <mean>5.3000</mean>
    <stddev>2.4515</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-25</for-date>
    <mean>6.6667</mean>
    <stddev>2.6247</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-26</for-date>
    <mean>5.7778</mean>
    <stddev>2.6574</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-06-27</for-date>
    <mean>6.3333</mean>
    <stddev>2.7487</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-06-28</for-date>
    <mean>6.3750</mean>
    <stddev>2.3947</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-06-29</for-date>
    <mean>5.7778</mean>
    <stddev>2.4394</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-06-30</for-date>
    <mean>5.4167</mean>
    <stddev>2.4310</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-07-01</for-date>
    <mean>5.0000</mean>
    <stddev>2.3905</stddev>
  </record>
  <record>
    <n>16</n>
    <for-date>2009-07-02</for-date>
    <mean>4.2500</mean>
    <stddev>2.1937</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-07-03</for-date>
    <mean>5.0000</mean>
    <stddev>2.0976</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-07-04</for-date>
    <mean>5.4286</mean>
    <stddev>3.4166</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-07-05</for-date>
    <mean>5.4286</mean>
    <stddev>3.1558</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-06</for-date>
    <mean>5.4444</mean>
    <stddev>2.6713</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-07-07</for-date>
    <mean>4.8000</mean>
    <stddev>2.4819</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-07-08</for-date>
    <mean>6.5000</mean>
    <stddev>2.8431</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-09</for-date>
    <mean>4.2222</mean>
    <stddev>2.8197</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-07-10</for-date>
    <mean>6.2500</mean>
    <stddev>2.2220</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-07-11</for-date>
    <mean>6.0000</mean>
    <stddev>2.7080</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-07-12</for-date>
    <mean>5.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-13</for-date>
    <mean>5.1111</mean>
    <stddev>2.9979</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-07-14</for-date>
    <mean>5.6667</mean>
    <stddev>3.2998</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-15</for-date>
    <mean>5.0000</mean>
    <stddev>2.6667</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-07-16</for-date>
    <mean>5.5000</mean>
    <stddev>2.9749</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-07-17</for-date>
    <mean>7.7500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-07-18</for-date>
    <mean>5.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-07-19</for-date>
    <mean>5.5000</mean>
    <stddev>2.5981</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-07-20</for-date>
    <mean>3.6667</mean>
    <stddev>2.2111</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-07-21</for-date>
    <mean>4.7143</mean>
    <stddev>2.6030</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-07-22</for-date>
    <mean>5.0000</mean>
    <stddev>3.0822</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-07-23</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-24</for-date>
    <mean>4.5556</mean>
    <stddev>2.4088</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-07-25</for-date>
    <mean>6.0000</mean>
    <stddev>4.0000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-07-26</for-date>
    <mean>10.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-07-27</for-date>
    <mean>4.8889</mean>
    <stddev>3.5101</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-07-28</for-date>
    <mean>6.0000</mean>
    <stddev>3.1623</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-07-29</for-date>
    <mean>4.6667</mean>
    <stddev>3.8586</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-07-30</for-date>
    <mean>3.8000</mean>
    <stddev>3.0594</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-07-31</for-date>
    <mean>6.1667</mean>
    <stddev>2.9107</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-01</for-date>
    <mean>6.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-02</for-date>
    <mean>8.0000</mean>
    <stddev>2.1213</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-03</for-date>
    <mean>6.4000</mean>
    <stddev>2.4166</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-08-04</for-date>
    <mean>6.1429</mean>
    <stddev>2.3561</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-05</for-date>
    <mean>5.5000</mean>
    <stddev>2.8723</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-06</for-date>
    <mean>5.2500</mean>
    <stddev>2.8614</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-07</for-date>
    <mean>5.0000</mean>
    <stddev>3.0822</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-08</for-date>
    <mean>6.6667</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-09</for-date>
    <mean>3.6667</mean>
    <stddev>3.0912</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-10</for-date>
    <mean>4.2500</mean>
    <stddev>3.0311</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-11</for-date>
    <mean>5.0000</mean>
    <stddev>3.0822</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-08-12</for-date>
    <mean>4.4000</mean>
    <stddev>1.8000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-13</for-date>
    <mean>4.7500</mean>
    <stddev>2.1651</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-14</for-date>
    <mean>4.7500</mean>
    <stddev>1.0897</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-15</for-date>
    <mean>6.6000</mean>
    <stddev>0.8000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-08-16</for-date>
    <mean>5.5000</mean>
    <stddev>2.3629</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-08-17</for-date>
    <mean>5.4286</mean>
    <stddev>1.7613</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-08-18</for-date>
    <mean>5.4286</mean>
    <stddev>2.9207</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-19</for-date>
    <mean>4.2000</mean>
    <stddev>0.9798</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-20</for-date>
    <mean>5.0000</mean>
    <stddev>1.6330</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-08-21</for-date>
    <mean>4.5556</mean>
    <stddev>2.0608</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-08-22</for-date>
    <mean>5.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-23</for-date>
    <mean>4.4000</mean>
    <stddev>1.0198</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-24</for-date>
    <mean>4.2500</mean>
    <stddev>2.1651</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-25</for-date>
    <mean>4.3333</mean>
    <stddev>2.8674</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-26</for-date>
    <mean>3.6000</mean>
    <stddev>2.8000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-27</for-date>
    <mean>5.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-08-28</for-date>
    <mean>4.4286</mean>
    <stddev>1.5908</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-08-29</for-date>
    <mean>7.4000</mean>
    <stddev>1.3565</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-08-30</for-date>
    <mean>3.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-08-31</for-date>
    <mean>3.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-09-01</for-date>
    <mean>3.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-09-02</for-date>
    <mean>3.2000</mean>
    <stddev>1.3266</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-09-03</for-date>
    <mean>2.6000</mean>
    <stddev>2.1541</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-04</for-date>
    <mean>2.5714</mean>
    <stddev>1.6782</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-09-05</for-date>
    <mean>4.5000</mean>
    <stddev>2.9580</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-06</for-date>
    <mean>3.6667</mean>
    <stddev>1.7951</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-09-07</for-date>
    <mean>6.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-09-08</for-date>
    <mean>4.6250</mean>
    <stddev>2.1759</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-09-09</for-date>
    <mean>3.9167</mean>
    <stddev>1.2555</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-09-10</for-date>
    <mean>4.2500</mean>
    <stddev>1.9843</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-09-11</for-date>
    <mean>8.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-09-12</for-date>
    <mean>7.0000</mean>
    <stddev>2.1213</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-09-13</for-date>
    <mean>3.8000</mean>
    <stddev>2.7857</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-14</for-date>
    <mean>3.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-15</for-date>
    <mean>4.5000</mean>
    <stddev>1.2583</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-09-16</for-date>
    <mean>4.7273</mean>
    <stddev>1.7104</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-17</for-date>
    <mean>4.5714</mean>
    <stddev>2.1946</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-18</for-date>
    <mean>4.4286</mean>
    <stddev>2.2588</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-19</for-date>
    <mean>6.2857</mean>
    <stddev>2.5475</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-09-20</for-date>
    <mean>6.5000</mean>
    <stddev>2.5658</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-09-21</for-date>
    <mean>3.5455</mean>
    <stddev>2.3880</stddev>
  </record>
  <record>
    <n>14</n>
    <for-date>2009-09-22</for-date>
    <mean>4.6429</mean>
    <stddev>2.6888</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-09-23</for-date>
    <mean>3.0909</mean>
    <stddev>2.3914</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-09-24</for-date>
    <mean>4.4167</mean>
    <stddev>2.9285</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-09-25</for-date>
    <mean>6.6667</mean>
    <stddev>2.6667</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-09-26</for-date>
    <mean>6.0000</mean>
    <stddev>2.1213</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-09-27</for-date>
    <mean>7.6250</mean>
    <stddev>1.4948</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-09-28</for-date>
    <mean>6.0000</mean>
    <stddev>2.2111</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-09-29</for-date>
    <mean>3.3750</mean>
    <stddev>1.2183</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-09-30</for-date>
    <mean>4.5714</mean>
    <stddev>2.1946</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-01</for-date>
    <mean>4.6667</mean>
    <stddev>2.4944</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-10-02</for-date>
    <mean>3.9091</mean>
    <stddev>2.2342</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-03</for-date>
    <mean>4.2000</mean>
    <stddev>1.7205</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-04</for-date>
    <mean>5.0000</mean>
    <stddev>2.6077</stddev>
  </record>
  <record>
    <n>12</n>
    <for-date>2009-10-05</for-date>
    <mean>5.4167</mean>
    <stddev>2.4986</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2009-10-06</for-date>
    <mean>5.3000</mean>
    <stddev>2.7946</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-10-07</for-date>
    <mean>6.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-08</for-date>
    <mean>6.3333</mean>
    <stddev>2.7487</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-10-09</for-date>
    <mean>6.3333</mean>
    <stddev>3.2998</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-10</for-date>
    <mean>2.8571</mean>
    <stddev>2.8500</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-11</for-date>
    <mean>7.4000</mean>
    <stddev>2.4166</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-12</for-date>
    <mean>5.8333</mean>
    <stddev>2.2669</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-13</for-date>
    <mean>6.0000</mean>
    <stddev>3.0984</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-14</for-date>
    <mean>5.5714</mean>
    <stddev>2.1946</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-15</for-date>
    <mean>7.1667</mean>
    <stddev>1.9508</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-10-16</for-date>
    <mean>4.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-17</for-date>
    <mean>7.0000</mean>
    <stddev>2.2804</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-10-18</for-date>
    <mean>3.5000</mean>
    <stddev>1.1180</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-19</for-date>
    <mean>3.6000</mean>
    <stddev>1.3565</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-10-20</for-date>
    <mean>6.2500</mean>
    <stddev>3.1918</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-21</for-date>
    <mean>4.8333</mean>
    <stddev>0.6872</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-22</for-date>
    <mean>4.2857</mean>
    <stddev>1.5779</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-10-23</for-date>
    <mean>3.0000</mean>
    <stddev>2.2361</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-24</for-date>
    <mean>6.1429</mean>
    <stddev>1.9588</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-25</for-date>
    <mean>7.8333</mean>
    <stddev>1.5723</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2009-10-26</for-date>
    <mean>5.5455</mean>
    <stddev>2.8719</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-27</for-date>
    <mean>5.2857</mean>
    <stddev>3.1493</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-28</for-date>
    <mean>5.4000</mean>
    <stddev>0.8000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-10-29</for-date>
    <mean>3.8000</mean>
    <stddev>3.2496</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-10-30</for-date>
    <mean>5.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-10-31</for-date>
    <mean>5.4286</mean>
    <stddev>3.1558</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-01</for-date>
    <mean>6.7500</mean>
    <stddev>2.0463</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-11-02</for-date>
    <mean>4.5714</mean>
    <stddev>2.6108</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-11-03</for-date>
    <mean>4.8750</mean>
    <stddev>2.5709</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-11-04</for-date>
    <mean>4.3333</mean>
    <stddev>1.6997</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-11-05</for-date>
    <mean>5.2222</mean>
    <stddev>2.6152</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-06</for-date>
    <mean>5.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-07</for-date>
    <mean>4.2500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-08</for-date>
    <mean>6.0000</mean>
    <stddev>1.7889</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-09</for-date>
    <mean>3.6667</mean>
    <stddev>1.4907</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-11-10</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-11-11</for-date>
    <mean>4.4286</mean>
    <stddev>1.6782</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-12</for-date>
    <mean>4.7500</mean>
    <stddev>1.0897</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-13</for-date>
    <mean>3.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-14</for-date>
    <mean>5.0000</mean>
    <stddev>3.1623</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-11-15</for-date>
    <mean>6.6667</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-16</for-date>
    <mean>5.5000</mean>
    <stddev>2.8137</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-17</for-date>
    <mean>5.2500</mean>
    <stddev>0.8292</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-18</for-date>
    <mean>6.0000</mean>
    <stddev>1.5811</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-19</for-date>
    <mean>5.6000</mean>
    <stddev>1.3565</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-11-20</for-date>
    <mean>5.6250</mean>
    <stddev>2.2326</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2009-11-21</for-date>
    <mean>6.2222</mean>
    <stddev>1.6851</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-22</for-date>
    <mean>5.6667</mean>
    <stddev>1.3744</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-11-23</for-date>
    <mean>6.0000</mean>
    <stddev>1.8257</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-11-24</for-date>
    <mean>5.0000</mean>
    <stddev>2.4495</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-11-25</for-date>
    <mean>5.2500</mean>
    <stddev>2.5860</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-11-26</for-date>
    <mean>4.5000</mean>
    <stddev>2.2913</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-11-27</for-date>
    <mean>3.6667</mean>
    <stddev>2.6247</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-28</for-date>
    <mean>7.6000</mean>
    <stddev>2.7276</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-11-29</for-date>
    <mean>4.6000</mean>
    <stddev>2.7276</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2009-11-30</for-date>
    <mean>6.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-01</for-date>
    <mean>4.2000</mean>
    <stddev>2.3152</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-12-02</for-date>
    <mean>4.6667</mean>
    <stddev>1.6997</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-12-03</for-date>
    <mean>4.1667</mean>
    <stddev>1.9508</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-04</for-date>
    <mean>3.8000</mean>
    <stddev>2.0396</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-05</for-date>
    <mean>5.0000</mean>
    <stddev>0.8165</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-12-06</for-date>
    <mean>2.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-07</for-date>
    <mean>5.2000</mean>
    <stddev>0.7483</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-12-08</for-date>
    <mean>5.4286</mean>
    <stddev>1.5908</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-12-09</for-date>
    <mean>5.1429</mean>
    <stddev>1.8844</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-10</for-date>
    <mean>6.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-12-11</for-date>
    <mean>10.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>62</n>
    <for-date>2009-12-12</for-date>
    <mean>0.9194</mean>
    <stddev>2.2810</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2009-12-13</for-date>
    <mean>6.0000</mean>
    <stddev>2.7080</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-14</for-date>
    <mean>6.4000</mean>
    <stddev>2.0591</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-15</for-date>
    <mean>4.2500</mean>
    <stddev>2.8614</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-16</for-date>
    <mean>7.8000</mean>
    <stddev>2.0396</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-17</for-date>
    <mean>6.7500</mean>
    <stddev>2.2776</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2009-12-18</for-date>
    <mean>3.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-19</for-date>
    <mean>6.3333</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2009-12-20</for-date>
    <mean>6.3333</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2009-12-21</for-date>
    <mean>7.1429</mean>
    <stddev>0.9897</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-22</for-date>
    <mean>6.7500</mean>
    <stddev>2.2776</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-23</for-date>
    <mean>5.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-24</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-25</for-date>
    <mean>8.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-26</for-date>
    <mean>7.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-27</for-date>
    <mean>7.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2009-12-28</for-date>
    <mean>5.0000</mean>
    <stddev>2.2804</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-29</for-date>
    <mean>6.0000</mean>
    <stddev>0.7071</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2009-12-30</for-date>
    <mean>7.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2009-12-31</for-date>
    <mean>5.2500</mean>
    <stddev>2.4875</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-01</for-date>
    <mean>5.3333</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-02</for-date>
    <mean>7.6667</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-03</for-date>
    <mean>7.0000</mean>
    <stddev>2.5495</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-04</for-date>
    <mean>6.8333</mean>
    <stddev>0.8975</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2010-01-05</for-date>
    <mean>5.0000</mean>
    <stddev>1.7321</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2010-01-06</for-date>
    <mean>5.8750</mean>
    <stddev>1.2686</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2010-01-07</for-date>
    <mean>5.6667</mean>
    <stddev>1.4907</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-01-08</for-date>
    <mean>5.4000</mean>
    <stddev>1.8547</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2010-01-09</for-date>
    <mean>6.0000</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-10</for-date>
    <mean>6.7500</mean>
    <stddev>1.2990</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-11</for-date>
    <mean>5.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2010-01-12</for-date>
    <mean>5.1250</mean>
    <stddev>1.6154</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-13</for-date>
    <mean>5.8333</mean>
    <stddev>2.1922</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-14</for-date>
    <mean>4.8333</mean>
    <stddev>1.5723</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-15</for-date>
    <mean>5.8333</mean>
    <stddev>2.4095</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-01-16</for-date>
    <mean>6.0000</mean>
    <stddev>2.0976</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-17</for-date>
    <mean>5.5000</mean>
    <stddev>1.8028</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2010-01-18</for-date>
    <mean>5.0000</mean>
    <stddev>1.8856</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2010-01-19</for-date>
    <mean>4.4286</mean>
    <stddev>2.4411</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2010-01-20</for-date>
    <mean>5.2727</mean>
    <stddev>2.4896</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-21</for-date>
    <mean>4.8333</mean>
    <stddev>1.9508</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2010-01-22</for-date>
    <mean>5.7143</mean>
    <stddev>1.4846</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-01-23</for-date>
    <mean>4.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-01-24</for-date>
    <mean>6.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-25</for-date>
    <mean>6.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-01-26</for-date>
    <mean>5.6000</mean>
    <stddev>2.1541</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-01-27</for-date>
    <mean>7.3333</mean>
    <stddev>1.6997</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-28</for-date>
    <mean>5.7500</mean>
    <stddev>1.7854</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-01-29</for-date>
    <mean>3.6667</mean>
    <stddev>2.5604</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-01-30</for-date>
    <mean>9.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-01-31</for-date>
    <mean>5.2500</mean>
    <stddev>2.8614</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-02-01</for-date>
    <mean>5.6667</mean>
    <stddev>2.0548</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-02</for-date>
    <mean>6.5000</mean>
    <stddev>3.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-03</for-date>
    <mean>4.6667</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-02-04</for-date>
    <mean>4.2000</mean>
    <stddev>3.2496</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-05</for-date>
    <mean>2.3333</mean>
    <stddev>1.2472</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-06</for-date>
    <mean>6.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-02-07</for-date>
    <mean>6.7500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-08</for-date>
    <mean>7.0000</mean>
    <stddev>2.1602</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-02-09</for-date>
    <mean>5.2500</mean>
    <stddev>1.4790</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-10</for-date>
    <mean>5.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-11</for-date>
    <mean>3.3333</mean>
    <stddev>0.9428</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-12</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-13</for-date>
    <mean>4.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-02-14</for-date>
    <mean>6.1667</mean>
    <stddev>1.0672</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-15</for-date>
    <mean>4.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-16</for-date>
    <mean>5.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-17</for-date>
    <mean>5.0000</mean>
    <stddev>2.0000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-18</for-date>
    <mean>6.5000</mean>
    <stddev>0.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-19</for-date>
    <mean>5.6667</mean>
    <stddev>4.0277</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-02-20</for-date>
    <mean>10.0000</mean>
    <stddev>0.0000</stddev>
  </record>
  <record>
    <n>9</n>
    <for-date>2010-02-21</for-date>
    <mean>5.0000</mean>
    <stddev>1.4907</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-22</for-date>
    <mean>5.3333</mean>
    <stddev>0.4714</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-02-23</for-date>
    <mean>4.4000</mean>
    <stddev>3.0067</stddev>
  </record>
  <record>
    <n>8</n>
    <for-date>2010-02-24</for-date>
    <mean>5.8750</mean>
    <stddev>2.4206</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-02-25</for-date>
    <mean>6.5000</mean>
    <stddev>1.5000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-02-26</for-date>
    <mean>4.0000</mean>
    <stddev>2.9439</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-02-27</for-date>
    <mean>5.8333</mean>
    <stddev>2.1148</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-02-28</for-date>
    <mean>5.8000</mean>
    <stddev>1.6000</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-03-01</for-date>
    <mean>6.0000</mean>
    <stddev>3.0000</stddev>
  </record>
  <record>
    <n>3</n>
    <for-date>2010-03-02</for-date>
    <mean>6.0000</mean>
    <stddev>1.4142</stddev>
  </record>
  <record>
    <n>6</n>
    <for-date>2010-03-03</for-date>
    <mean>6.1667</mean>
    <stddev>1.0672</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2010-03-04</for-date>
    <mean>7.5455</mean>
    <stddev>1.1571</stddev>
  </record>
  <record>
    <n>5</n>
    <for-date>2010-03-05</for-date>
    <mean>6.2000</mean>
    <stddev>1.4697</stddev>
  </record>
  <record>
    <n>2</n>
    <for-date>2010-03-06</for-date>
    <mean>7.0000</mean>
    <stddev>1.0000</stddev>
  </record>
  <record>
    <n>7</n>
    <for-date>2010-03-07</for-date>
    <mean>8.2857</mean>
    <stddev>1.7496</stddev>
  </record>
  <record>
    <n>10</n>
    <for-date>2010-03-08</for-date>
    <mean>5.8000</mean>
    <stddev>2.3152</stddev>
  </record>
  <record>
    <n>4</n>
    <for-date>2010-03-09</for-date>
    <mean>7.5000</mean>
    <stddev>2.0616</stddev>
  </record>
  <record>
    <n>11</n>
    <for-date>2010-03-10</for-date>
    <mean>4.9091</mean>
    <stddev>2.3914</stddev>
  </record>
  <record>
    <n>1</n>
    <for-date>2010-03-11</for-date>
    <mean>10.0000</mean>
    <stddev>0.0000</stddev>
  </record>
</records>
