When using the ?² tests for independence, one should be aware that expected frequencies that are too small will lead to too big a type I error.

Question

Quizplus · Accepted Answer

This is true. When expected frequencies are too small, it means that some cells in the contingency table have very few observations. This can lead to unreliable or unstable results and increase the likelihood of making a type I error (incorrectly rejecting the null hypothesis). To avoid this issue, researchers may need to increase their sample size or consider using alternative statistical methods.

When Using the ?2 Tests for Independence, One Should Be

When Using the ?² Tests for Independence, One Should Be