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*This function gives the one_tailed probability of the chi-squared distribution.  
 
*This function gives the one_tailed probability of the chi-squared distribution.  
 
*It is denoted by  <math>\chi^2</math> distribution.Normally categorical data's may displayed in tables.  
 
*It is denoted by  <math>\chi^2</math> distribution.Normally categorical data's may displayed in tables.  
*The <math>\chi^2</math> static used to compare the observed value in each table to the value  
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*The <math>\chi^2</math> static used to compare the observed value in each table to the value which would be the expected  under the assumption.  
*which would be the expected  under the assumption. The conditions of <math>\chi^2</math> test is  
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*The conditions of <math>\chi^2</math> test is  
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#The table should be 2x2 or more than 2x2
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**The table should be 2x2 or more than 2x2
#Each observations should not be dependent
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**Each observations should not be dependent
#All expected values should be 10 or greater. 
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**All expected values should be 10 or greater. 
The test statistic is:  
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**The test statistic is:  
 
<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: (r–1)(c–1)
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