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<p>of each groups.<br><br><code>AVG</code>:</br></br></p>

<p>or<br></br></p>

<p>or, only if COUNT(X)=COUNT(Y)<br></br></p>

<p><br><code>SUM(x<sup>2</sup>)</code>:The sum of squares of the values is important in order to calculate the Standard Deviation of groups<br></br></br></p>

<p><br><code>STDDEV</code>:<br>For a finite population with equal probabilities at all points, we have</br></br></p>

<p>This means that the standard deviation is equal to the square root of the difference between the average of the squares of the values and the square</p><p>
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