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<div>Data≡measure and frecuency</div></span>]]></writer>
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        <p>Skewness</p>
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      <p>The above formula for skewness is referred to as the Fisher-Pearson coefficient of skewness. Many software programs actually compute the adjusted Fisher-Pearson coefficient of skewness</p>
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</raw>
    </picture>
  </region>
  <region id="14" left="36" top="909" width="372" height="150" color="#000000" bgColor="#ebdaeb" fontSize="10">
    <math>
      <description active="true" position="Top" lang="eng">
        <p>Adjusted Fisher-Pearson coefficient of skewness</p>
      </description>
      <input>
        <e type="operand">G1</e>
        <e type="operand">N</e>
        <e type="operand">N</e>
        <e type="operand">1</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operator" args="2">*</e>
        <e type="function" args="1">sqrt</e>
        <e type="operand">N</e>
        <e type="operand">2</e>
        <e type="operator" args="2">-</e>
        <e type="operator" args="2">/</e>
        <e type="operand">X</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operand">Xmed</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">3</e>
        <e type="operator" args="2">^</e>
        <e type="operand">F</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operator" args="2">*</e>
        <e type="bracket">(</e>
        <e type="operand">i</e>
        <e type="operand">1</e>
        <e type="operand">N</e>
        <e type="function" args="4">sum</e>
        <e type="bracket">(</e>
        <e type="operand">1</e>
        <e type="operand">Nit</e>
        <e type="operator" args="2">/</e>
        <e type="operator" args="2">*</e>
        <e type="operand">1</e>
        <e type="operand">Nit</e>
        <e type="operator" args="2">/</e>
        <e type="operand">X</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operand">Xmed</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">2</e>
        <e type="operator" args="2">^</e>
        <e type="operand">F</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operator" args="2">*</e>
        <e type="bracket">(</e>
        <e type="operand">i</e>
        <e type="operand">1</e>
        <e type="operand">N</e>
        <e type="function" args="4">sum</e>
        <e type="operator" args="2">*</e>
        <e type="bracket">(</e>
        <e type="function" args="1">sqrt</e>
        <e type="bracket">(</e>
        <e type="operand">3</e>
        <e type="operator" args="2">^</e>
        <e type="operator" args="2">/</e>
        <e type="operator" args="2">*</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
  </region>
  <region id="15" left="450" top="909" width="120" height="24" color="#000000" bgColor="#ebdaeb" fontSize="10">
    <math>
      <description active="true" position="Top" lang="eng">
        <p>Like MathCad</p>
      </description>
      <input>
        <e type="operand">G1</e>
      </input>
      <result action="numeric">
        <e type="operand">0.005271</e>
      </result>
    </math>
  </region>
  <region id="16" left="27" top="1125" width="288" height="144" color="#000000" bgColor="#ddffdd" fontSize="10">
    <math>
      <description active="true" position="Top" lang="eng">
        <p>Kurtosis</p>
      </description>
      <input>
        <e type="operand">g2</e>
        <e type="operand">1</e>
        <e type="operand">Nit</e>
        <e type="operator" args="2">/</e>
        <e type="operand">X</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operand">Xmed</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">4</e>
        <e type="operator" args="2">^</e>
        <e type="operand">F</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operator" args="2">*</e>
        <e type="bracket">(</e>
        <e type="operand">i</e>
        <e type="operand">1</e>
        <e type="operand">N</e>
        <e type="function" args="4">sum</e>
        <e type="operator" args="2">*</e>
        <e type="operand">1</e>
        <e type="operand">Nit</e>
        <e type="operator" args="2">/</e>
        <e type="operand">X</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operand">Xmed</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">2</e>
        <e type="operator" args="2">^</e>
        <e type="operand">F</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operator" args="2">*</e>
        <e type="bracket">(</e>
        <e type="operand">i</e>
        <e type="operand">1</e>
        <e type="operand">N</e>
        <e type="function" args="4">sum</e>
        <e type="operator" args="2">*</e>
        <e type="bracket">(</e>
        <e type="operand">2</e>
        <e type="operator" args="2">^</e>
        <e type="operator" args="2">/</e>
        <e type="operand">3</e>
        <e type="operator" args="2">-</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
  </region>
  <region id="17" left="369" top="1125" width="116" height="24" color="#000000" bgColor="#ddffdd" fontSize="10">
    <math>
      <input>
        <e type="operand">g2</e>
      </input>
      <result action="numeric">
        <e type="operand">0.7750</e>
        <e type="operator" args="1">-</e>
      </result>
    </math>
  </region>
  <region id="18" left="27" top="1314" width="455" height="184" border="true" color="#000000" bgColor="#ffffff" fontSize="10">
    <text lang="eng">
      <p>Sample Kurtosis FormulaThe kurtosis and excess kurtosis formulas above are for population kurtosis (when your data set includes the whole population). Very often, you don’t have data for the whole population and you need to estimate population kurtosis from a sample.When calculating sample kurtosis, you need to make a small adjustment to the kurtosis formula:Sample kurtosis formula</p>
    </text>
  </region>
  <region id="19" left="27" top="1512" width="407" height="49" border="true" color="#000000" bgColor="#ffffff">
    <picture>
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  </region>
  <region id="20" left="27" top="1584" width="218" height="87" color="#000000" bgColor="#ffffff" fontSize="10">
    <math>
      <description active="true" position="Top" lang="eng">
        <p>Variance</p>
      </description>
      <input>
        <e type="operand">Var</e>
        <e type="operand">X</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operand">Xmed</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">2</e>
        <e type="operator" args="2">^</e>
        <e type="operand">F</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operator" args="2">*</e>
        <e type="bracket">(</e>
        <e type="operand">i</e>
        <e type="operand">1</e>
        <e type="operand">N</e>
        <e type="function" args="4">sum</e>
        <e type="operand">N</e>
        <e type="operand">1</e>
        <e type="operator" args="2">-</e>
        <e type="operator" args="2">/</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
  </region>
  <region id="21" left="306" top="1584" width="118" height="26" color="#000000" bgColor="#ffffff" fontSize="10">
    <math>
      <description active="true" position="Top" lang="eng">
        <p>Standard deviation</p>
      </description>
      <input>
        <e type="operand">StdDes</e>
        <e type="operand">Var</e>
        <e type="function" args="1">sqrt</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
  </region>
  <region id="22" left="27" top="1719" width="376" height="99" color="#000000" bgColor="#ffc2a6" fontSize="10">
    <math>
      <description active="true" position="Top" lang="eng">
        <p>Sample Kurtosis Formula</p>
      </description>
      <input>
        <e type="operand">G2</e>
        <e type="operand">N</e>
        <e type="operand">N</e>
        <e type="operand">1</e>
        <e type="operator" args="2">+</e>
        <e type="bracket">(</e>
        <e type="operator" args="2">*</e>
        <e type="operand">X</e>
        <e type="operand">i</e>
        <e type="function" args="2">el</e>
        <e type="operand">Xmed</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">4</e>
        <e type="operator" args="2">^</e>
        <e type="operand">i</e>
        <e type="operand">1</e>
        <e type="operand">N</e>
        <e type="function" args="4">sum</e>
        <e type="operator" args="2">*</e>
        <e type="operand">N</e>
        <e type="operand">1</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">N</e>
        <e type="operand">2</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operator" args="2">*</e>
        <e type="operand">N</e>
        <e type="operand">3</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operator" args="2">*</e>
        <e type="bracket">(</e>
        <e type="operand">StdDes</e>
        <e type="bracket">(</e>
        <e type="operand">4</e>
        <e type="operator" args="2">^</e>
        <e type="operator" args="2">*</e>
        <e type="operator" args="2">/</e>
        <e type="operand">3</e>
        <e type="operand">N</e>
        <e type="operand">1</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">2</e>
        <e type="operator" args="2">^</e>
        <e type="operator" args="2">*</e>
        <e type="operand">N</e>
        <e type="operand">2</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operand">N</e>
        <e type="operand">3</e>
        <e type="operator" args="2">-</e>
        <e type="bracket">(</e>
        <e type="operator" args="2">*</e>
        <e type="operator" args="2">/</e>
        <e type="operator" args="2">-</e>
        <e type="operator" args="2">:</e>
      </input>
    </math>
  </region>
  <region id="23" left="468" top="1719" width="116" height="24" color="#000000" bgColor="#ffc2a6" fontSize="10">
    <math>
      <description active="true" position="Top" lang="eng">
        <p>Like MathCad</p>
      </description>
      <input>
        <e type="operand">G2</e>
      </input>
      <result action="numeric">
        <e type="operand">0.6180</e>
        <e type="operator" args="1">-</e>
      </result>
    </math>
  </region>
  <region id="24" left="54" top="1926" width="577" height="228" border="true" color="#000000" bgColor="#ffffff">
    <picture>
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