In applying the chi-square goodness-of-fit test, the rule of thumb for all expected frequencies is that each expected frequency is 5 or more.

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This is true because the chi-square goodness-of-fit test is based on the assumption that the expected frequencies for each category should be at least 5. This ensures that the chi-square distribution used in the test is approximately normal and that the results are reliable. If any expected frequency is less than 5, the test may be invalid and alternative methods such as Fisher's exact test may be used.

In Applying the Chi-Square Goodness-Of-Fit Test, the Rule of Thumb