When using the tests for independence, you should be aware that expected frequencies that are too small will lead to a large Type I error.

Question

When using the  tests for independence, you should be aware that expected frequencies that are too small will lead to a large Type I error.

Quizplus · Accepted Answer

When expected frequencies are too small, the chi-square test can become overly sensitive and lead to rejecting the null hypothesis (Type I error) more often than it should. When expected frequencies are too small, the chi-square test may not accurately reflect the true distribution and can result in a larger Type I error rate.

When Using the Tests for Independence, You Should Be