The chi-square test can run into trouble if
A) the observations are not independent.
B) the expected frequencies are too low.
C) the total number of subjects is very small.
D) all of the above

Question

Quizplus · Accepted Answer

The chi-square test relies on the assumptions of independence between observations and sufficiently large expected frequencies. If these assumptions are violated, the chi-square test can give inaccurate or misleading results. Additionally, when the total number of subjects is very small, there may be insufficient statistical power to detect meaningful differences, even if they exist. Therefore, all of the above factors can pose challenges to the validity of the chi-square test.

The Chi-Square Test Can Run into Trouble If