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<math>\chi^2=\sum\frac{(Oi-Ei)^2}{Ei}</math>
 
<math>\chi^2=\sum\frac{(Oi-Ei)^2}{Ei}</math>
   −
The degrees of freedom are: (r–1)(c–1)
+
The degrees of freedom are: <math>(r–1)(c–1)</math>
 
*r = No. of rows
 
*r = No. of rows
 
*c = No. of columns
 
*c = No. of columns
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Also this function will the result as Error when
 
Also this function will the result as Error when
#The x & df values are non-numeric
+
#The <math>x</math> & <math>df</math> values are non-numeric
#The x value is negative or df value is not an integer
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#The <math>x</math> value is negative or <math>df</math> value is not an integer
#The df <1 or df>10^10
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#The <math>df < 1<math> or <math>df > 10^10<math>
 
#Here  CHIDIST=P(X>x),where X is a <math>\chi^2</math> random variable.  
 
#Here  CHIDIST=P(X>x),where X is a <math>\chi^2</math> random variable.  
  
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