If other factors are held constant,increasing the sample size for a chi-square test for independence will increase the likelihood of rejecting the null hypothesis.

Question

If other factors are held constant,increasing the sample size for a chi-square test for independence will increase the likelihood of rejecting the null hypothesis.​

Quizplus · Accepted Answer

Increasing the sample size in a chi-square test increases the power of the test, which is the ability of the test to detect a significant difference if there really is one. Therefore, the larger the sample size, the more likely it is to detect a significant difference and reject the null hypothesis.

If Other Factors Are Held Constant,increasing the Sample Size for a Chi-Square