Identify correct statements about Chi-square test.
A. It is a parametric test.
B. The null hypothesis states the difference between the observed and expected frequencies is not significant.
C. Rejection of null hypothesis indicates that differences between observed and expected frequencies are real.
D. To reject null hypothesis the table value should be greater than computed value of a Chi-square.
Choose the most appropriate answer from the options given below.

Correct option is A

The null hypothesis states the difference between the observed and expected frequencies is not significant. This statement is correct. In a Chi-square test, the null hypothesis assumes no significant difference between observed and expected values.
Rejection of null hypothesis indicates that differences between observed and expected frequencies are real. This statement is correct. If the Chi-square value leads to rejecting the null hypothesis, it implies that the observed differences are statistically significant.
Information Booster:
· Chi-square test is a statistical test used to determine whether there is a significant association between categorical variables by comparing observed and expected frequencies.
· It is often used in goodness-of-fit tests and tests of independence.
Additional Knowledge:
 It is a parametric test: Incorrect. The Chi-square test is a non-parametric test, meaning it does not rely on assumptions about the population distribution parameters like mean or standard deviation.
To reject the null hypothesis, the table value should be greater than the computed value of a Chi-square: Incorrect. The computed Chi-square value should be greater than the table value to reject the null hypothesis, not the other way around.