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26 bytes removed ,  20:48, 26 February 2018
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and
 
and
 
:<math>SY^2=\frac{1}{m-1} \sum_{i=1}^m (Yi-\bar Y)^2</math>
 
:<math>SY^2=\frac{1}{m-1} \sum_{i=1}^m (Yi-\bar Y)^2</math>
*Then the Test Statistic = <math>\frac {Sx^2}{Sy^2}</math> has an F-distribution with <math> 'n−1' </math> and <math> m−1</math> degrees of freedom.
+
*Then the Test Statistic = <math>\frac {Sx^2}{Sy^2}</math> has an F-distribution with 'n−1' and  'm−1' degrees of freedom.
 
*In FTEST(array1,array2) where <math>array1</math> is the data of  first array, <math>array2</math> is the data of second array.  
 
*In FTEST(array1,array2) where <math>array1</math> is the data of  first array, <math>array2</math> is the data of second array.  
 
*The array may be any numbers, names, or references that contains numbers.  
 
*The array may be any numbers, names, or references that contains numbers.  
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