You should be careful about using a chi-square test when
A) the expected frequencies are quite small.
B) the obtained frequencies are quite small.
C) the expected frequencies are different across the categories.
D) both a and c

Question

Quizplus · Accepted Answer

The chi-square test requires that expected frequencies in each category be sufficiently large (usually at least 5) to ensure the validity of the test. Small expected frequencies can lead to inaccurate results because the chi-square distribution assumption may not hold well.

You Should Be Careful About Using a Chi-Square Test When