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    <WQXTable headerInfoBegin="" domainEntity="Statistical Base" schemaElement="StatisticalBaseCode" rowCount="67" maxLastChangeDate="2026-03-18T13:08:50AMERICA/NEW_YORK" headerInfoEnd="">


    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>45</UID>
      <Code>1 Pctl</Code>
      <Description>A 1st percentile says that 1% of the time data points are below that value and 99% of the time they are above that value.</Description>
      <LastChangeDate>2023-03-09T09:15:27 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>9</UID>
      <Code>10 Pctl</Code>
      <Description>the 10th percentile is the value (or score) below which 10% of the observations may be found.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>10</UID>
      <Code>15 Pctl</Code>
      <Description>the 15th percentile is the value (or score) below which 15% of the observations may be found.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>196</UID>
      <Code>16 Pctl</Code>
      <Description>the 16th percentile is the value (or score) below which 16% of the observations may be found.</Description>
      <LastChangeDate>2024-11-15T17:50:40 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>49</UID>
      <Code>2-Sigma CSU</Code>
      <Description>2-Sigma CSU</Description>
      <LastChangeDate>2015-01-05T00:00:00 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>11</UID>
      <Code>20 Pctl</Code>
      <Description>the 20th percentile is the value (or score) below which 20% of the observations may be found.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>12</UID>
      <Code>25 Pctl</Code>
      <Description>also known as the first quartile (Q1), is the 25th percentile is the value (or score) below which 25% of the observations may be found.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>23</UID>
      <Code>30-day Geometric Mean</Code>
      <Description>Calculating a geometric mean (over 30 days period) provides a number that is more representative of the median and helps reduce the effect of a few extreme values.</Description>
      <LastChangeDate>2011-05-31T10:05:55 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>159</UID>
      <Code>30DADMean</Code>
      <Description>Thirty day average daily mean</Description>
      <LastChangeDate>2018-07-11T08:01:39 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>8</UID>
      <Code>5 Pctl</Code>
      <Description>A 5th percentile says that 5% of the time data points are below that value and 95% of the time they are above that value.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>139</UID>
      <Code>50 Pctl</Code>
      <Description>also known as the median or second quartile (Q2), is the 50th percentile is the value (or score) below which 50% of the observations may be found.</Description>
      <LastChangeDate>2017-03-31T08:58:01 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>13</UID>
      <Code>75 Pctl</Code>
      <Description>also known as the third quartile (Q3), is the 75th percentile is the value (or score) below which 75% of the observations may be found.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>19</UID>
      <Code>7DADM</Code>
      <Description>Seven Day Average Daily Maximum</Description>
      <LastChangeDate>2009-12-15T16:47:41 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>157</UID>
      <Code>7DADMean</Code>
      <Description>Seven day average daily mean</Description>
      <LastChangeDate>2018-07-11T07:57:57 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>158</UID>
      <Code>7DADMin</Code>
      <Description>Seven day average daily minimum</Description>
      <LastChangeDate>2018-07-11T07:58:58 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>14</UID>
      <Code>80 Pctl</Code>
      <Description>the 80th percentile is the value (or score) below which 80% of the observations may be found.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>197</UID>
      <Code>84 Pctl</Code>
      <Description>the 84th percentile is the value (or score) below which 84% of the observations may be found.</Description>
      <LastChangeDate>2020-07-21T09:44:40 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>15</UID>
      <Code>85 Pctl</Code>
      <Description>the 85th percentile is the value (or score) below which 85% of the observations may be found.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>16</UID>
      <Code>90 Pctl</Code>
      <Description>the 90th percentile is the value (or score) below which 90% of the observations may be found.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>17</UID>
      <Code>95 Pctl</Code>
      <Description>A 95th percentile says that 95% of the time data points are below that value and 5% of the time they are above that value.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>36</UID>
      <Code>99 Pctl</Code>
      <Description>A 99th percentile says that 95% of the time data points are below that value and 1% of the time they are above that value.</Description>
      <LastChangeDate>2014-11-19T10:32:19 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>20</UID>
      <Code>AMS</Code>
      <Description>A method to calculate expanded uncertainty where sample size =7( 7 measures of one sample)</Description>
      <LastChangeDate>2011-02-09T18:10:20 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>21</UID>
      <Code>AMS&amp;</Code>
      <Description>A method to calculate expanded uncertainty where sample size =7 ( based on 7 measures of different samples)</Description>
      <LastChangeDate>2011-02-09T18:10:20 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>52</UID>
      <Code>Area-Weighted Mean</Code>
      <Description>The mean value of a set, weighted by the area over which individual values in the set were measured</Description>
      <LastChangeDate>2023-09-28T13:04:19 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>28</UID>
      <Code>BAV</Code>
      <Description>Beach Action Values - level of concentration, 75th percentile of the geometric mean of the water samples (the value at which beach advisories should be issued.)</Description>
      <LastChangeDate>2013-01-24T14:21:20 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>48</UID>
      <Code>BNT</Code>
      <Description>Beach notification threshold – A water quality value selected by a state or tribe that is used to “trigger” a beach notification.</Description>
      <LastChangeDate>2014-08-13T00:00:00 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>177</UID>
      <Code>Coefficient of error</Code>
      <Description>the standard error of the mean of repeated estimates divided by the mean</Description>
      <LastChangeDate>2020-06-03T14:51:08 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>37</UID>
      <Code>Coefficient of variation</Code>
      <Description>a statistical measure of the dispersion of data points in a data series around the mean. The coefficient of variation represents the ratio of the standard deviation to the mean</Description>
      <LastChangeDate>2015-12-21T14:35:23 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>31</UID>
      <Code>Count</Code>
      <Description>count data is a statistical data type, a type of data in which the observations can take only the non-negative integer values, and where these integers arise from counting rather than ranking</Description>
      <LastChangeDate>2014-07-01T00:00:00 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>22</UID>
      <Code>Daily Geometric Mean</Code>
      <Description>Calculating a geometric mean (a daily period) provides a number that is more representative of the median and helps reduce the effect of a few extreme values.</Description>
      <LastChangeDate>2011-05-31T10:05:55 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>26</UID>
      <Code>Daily Maximum</Code>
      <Description>The largest value of a set, each period of a day cycle</Description>
      <LastChangeDate>2012-01-18T14:21:20 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>46</UID>
      <Code>Daily Mean</Code>
      <Description>The mean value of a set, each period of a day cycle</Description>
      <LastChangeDate>2023-09-28T13:04:19 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>47</UID>
      <Code>Daily Median</Code>
      <Description>The  median value of a set (also known as the 50 Pctl), each period of a day cycle</Description>
      <LastChangeDate>2023-09-28T13:04:19 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>25</UID>
      <Code>Daily Minimum</Code>
      <Description>The smallest value of a set, each period of a day cycle</Description>
      <LastChangeDate>2012-01-18T14:20:38 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>54</UID>
      <Code>Daily Standard Deviation</Code>
      <Description>Daily standard deviation measures volatility over a single day, while general standard deviation calculates dispersion over any specified period (e.g., annual, monthly).</Description>
      <LastChangeDate>2026-03-18T13:08:50 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>30</UID>
      <Code>Delta</Code>
      <Description>The measurable difference between two points or results themselves</Description>
      <LastChangeDate>2013-08-22T14:21:20 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>18</UID>
      <Code>Geometric Mean</Code>
      <Description>the geometric mean is a mean or average, which indicates the central tendency or typical value of a set of numbers by using the product of their values.</Description>
      <LastChangeDate>2008-04-15T09:32:55 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>35</UID>
      <Code>Hourly Maximum</Code>
      <Description>The largest value of a set, each period of a hour cycle</Description>
      <LastChangeDate>2014-07-18T00:00:00 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>34</UID>
      <Code>Hourly Minimum</Code>
      <Description>The smallest value of a set, each period of a hour cycle</Description>
      <LastChangeDate>2014-07-18T00:00:00 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>137</UID>
      <Code>Instantaneous</Code>
      <Description>The rate of change at a particular moment. Same as the value of the derivative at a particular point.</Description>
      <LastChangeDate>2017-03-31T07:29:37 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>44</UID>
      <Code>Kurtosis</Code>
      <Description>a measure of whether the data are peaked or flat relative to a normal distribution. The sharpness of the peak of a frequency-distribution curve.</Description>
      <LastChangeDate>2016-01-14T07:58:04 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>53</UID>
      <Code>Log Standard Error</Code>
      <Description>This is the standard deviation of the sample mean, xBar, and describes its accuracy as an estimate of the population mean, mu, for values in logarithmic units.</Description>
      <LastChangeDate>2023-09-28T15:25:46 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>6</UID>
      <Code>MPN</Code>
      <Description>Most Probable Number (MPN) is a method used to estimate the concentration of viable microorganisms in a sample by means of replicate liquid broth growth in ten-fold dilutions.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>1</UID>
      <Code>Maximum</Code>
      <Description>The maximum is a unique number for a given set of data. This number can be repeated, but there is only one maximum for a data set</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>2</UID>
      <Code>Mean</Code>
      <Description>mean is the sum of all the numbers in the set divided by the amount of numbers in the set</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>3</UID>
      <Code>Median</Code>
      <Description>median is the middle point of a number set, in which half the numbers are above the median and half are below.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>4</UID>
      <Code>Minimum</Code>
      <Description>the smallest or the least value in a given set of data.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>5</UID>
      <Code>Mode</Code>
      <Description>The mode of a set of data values is the value that appears most often.</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>50</UID>
      <Code>N</Code>
      <Description>N represents the total number of individuals or cases in the population</Description>
      <LastChangeDate>2023-04-10T23:08:57 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>217</UID>
      <Code>Percent Similarity</Code>
      <Description>Percent Similarity</Description>
      <LastChangeDate>2021-07-14T15:15:38 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>38</UID>
      <Code>Percent diff from true</Code>
      <Description>a percentage deviation or a measure of difference between the observed value of a variable and some reference value</Description>
      <LastChangeDate>2015-12-21T14:35:23 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>39</UID>
      <Code>Percent of total</Code>
      <Description>function returns the percentage of each value in the input series out of the total sum of the values in the input series.</Description>
      <LastChangeDate>2015-12-21T14:35:23 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>40</UID>
      <Code>Percent recovery</Code>
      <Description>The percent recovery is the amount of pure compound with respect to the impure compound obtained from the chemical synthesis</Description>
      <LastChangeDate>2015-12-21T14:35:23 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>179</UID>
      <Code>Precision</Code>
      <Description>In statistics, precision is the reciprocal of the variance, and the precision matrix is the matrix inverse of the covariance matrix</Description>
      <LastChangeDate>2020-06-03T18:56:14 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>140</UID>
      <Code>Quartile Deviation</Code>
      <Description>The quartile deviation is a slightly better measure of absolute dispersion than the range. But it ignores the observation on the tails.</Description>
      <LastChangeDate>2017-03-31T09:06:39 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>29</UID>
      <Code>RAD Error</Code>
      <Description>Inherent Error in Radiological Instruments</Description>
      <LastChangeDate>2013-07-10T11:19:06 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>51</UID>
      <Code>Range</Code>
      <Description>the range is the spread of your data from the lowest to the highest value in the distribution. It is the simplest measure of variability</Description>
      <LastChangeDate>2023-04-10T23:08:57 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>42</UID>
      <Code>Ratio</Code>
      <Description>the quantitative relation between two amounts showing the number of times one value contains or is contained within the other.</Description>
      <LastChangeDate>2015-12-21T14:35:23 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>41</UID>
      <Code>Relative percent diff</Code>
      <Description>the Relative Percent Difference (RDP) determines the difference between analytical results reported in primary, and duplicate samples. RDP statistics are used to calculate precision or random error.</Description>
      <LastChangeDate>2015-12-21T14:35:23 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>27</UID>
      <Code>STV</Code>
      <Description>statistical threshold value  - level of concentration, the 90th percentile of the geometric mean of the samples for a particular water body</Description>
      <LastChangeDate>2013-01-24T14:21:20 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>24</UID>
      <Code>Single Sample Maximum</Code>
      <Description>a single sample or measurement taken at a specific time and determining the maximum number of defects discovered in a sample</Description>
      <LastChangeDate>2011-05-31T10:05:55 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>43</UID>
      <Code>Skewness</Code>
      <Description>a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.</Description>
      <LastChangeDate>2016-01-14T07:58:04 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>117</UID>
      <Code>Slope</Code>
      <Description>the slope or gradient of a line is a number that describes both the direction and the steepness of the line.  The significance of a linear relationship between x and y</Description>
      <LastChangeDate>2017-03-30T13:10:56 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>7</UID>
      <Code>Standard Deviation</Code>
      <Description>This describes the spread of values in the sample</Description>
      <LastChangeDate>2006-07-26T10:57:47 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>32</UID>
      <Code>Standard Error</Code>
      <Description>This is the standard deviation of the sample mean, xBar, and describes its accuracy as an estimate of the population mean, mu. </Description>
      <LastChangeDate>2014-07-01T00:00:00 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>33</UID>
      <Code>Sum</Code>
      <Description>Use summation notation to express the sum of all numbers.</Description>
      <LastChangeDate>2014-07-01T00:00:00 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>

    <StatisticalBase>
    <Domain>Statistical Base(StatisticalBaseCode)</Domain>
      <UID>178</UID>
      <Code>Variance</Code>
      <Description>the most commonly used measures of spread. We know that variance is a measure of how spread out a data set is. It is calculated as the average squared deviation of each number from the mean of a data</Description>
      <LastChangeDate>2020-06-03T14:51:08 AMERICA/NEW_YORK</LastChangeDate>
    </StatisticalBase>


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