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Pragya, Chi-square test includes null hypothesis, which states that no relationship exists on the categorical variables in the population. This test is extremely sensitive to sample size and when your sample size is too large, there will be small difference may appear statistically significant.  Not only to sample, it is also sensitive to the distribution within the cells.

The Chi-Square statistic is used to evaluate tests of Independence while using cross-tabulation.  Cross-tabulation represents the distributions of categorical variables and the intersection of the of the variables included in the cells of the table. The test of Independence determines whether any association exists between the two variables by comparing the observed pattern with that of the expected pattern if the variables were independent of each other.  This test will also allow you to assess if the observed cell counts are different from the expected cell counts.

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