Given below are a few most common applications of the chi-square formula It indicates the null hypothesis is very likely. It indicates the null hypothesis is very unlikely. The smaller the P-value, the stronger is the evidence in favor of the alternative hypothesis given observed frequency and expected frequency. The P-value is used as an alternative to the rejection point to provide the least significance for which the null hypothesis would be rejected. The P-value represents the probability of occurrence of the given event. It defines the probability of getting a result that is either the same or more extreme than the other actual observations.
The P-value is short for probability value.
If the chi-square value is large, the null hypothesis is rejected.Ĭhi-Square test statistic is called P-value.
Chi-square formula is used to compare two or more statistical data sets.