When using the $\chi ^ { 2 }$ tests for independence, you should be aware that expected
frequencies that are too small will lead to a large Type I error.

Question

Quizplus · Accepted Answer

Expected frequencies that are too small will lead to a large Type I error because the chi-square distribution is only a good approximation when the expected frequencies are large. When the expected frequencies are small, the chi-square distribution can be skewed, which can lead to incorrect conclusions.

When Using The χ2\chi ^ { 2 }χ2 Tests for Independence, You Should Be Aware That Expected Frequencies

When Using The $\chi ^ { 2 }$ Tests for Independence, You Should Be Aware That Expected
Frequencies