Changes

*which would be the expected  under the assumption. The conditions of <math>\chi^2</math> test is  

*which would be the expected  under the assumption. The conditions of <math>\chi^2</math> test is  

1.The table should be 2x2 or more than 2x2

#The table should be 2x2 or more than 2x2

2.Each observations should not be dependent

#Each observations should not be dependent

3.All expected values should be 10 or greater. 

#All expected values should be 10 or greater. 

The test statistic is:  

The test statistic is:  

<math>\chi^2=\sum\frac{(Oi-Ei)^2}{Ei}</math>

<math>\chi^2=\sum\frac{(Oi-Ei)^2}{Ei}</math>

*Oi-the observed value in the ith cell

*Oi-the observed value in the ith cell

*Ei- the expected value in the ith cell

*Ei- the expected value in the ith cell

Also this function will the result as Error when

Also this function will the result as Error when

1.The x & df values are non-numeric

#The x & df values are non-numeric

2.The x value is negative or df value is not an integer

#The x value is negative or df value is not an integer

3. The df <1 or df>10^10

#The df <1 or df>10^10

4.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.  

*CHIDIST(-2,1)=Error, because x is negative.

*CHIDIST(-2,1)=Error, because x is negative.