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

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This rule of thumb helps ensure that the theoretical distribution being tested against (the expected frequencies) is a good approximation of the actual distribution of the data. When an expected frequency falls below five, the chi-square test can become unreliable and may not accurately reflect the goodness-of-fit of the data.

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