Asked by Beniah Greene on Jul 27, 2024
Verified
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.
Chi-Square Goodness-of-Fit Test
A statistical test used to determine whether a set of observed frequencies differ from a set of expected frequencies.
Expected Frequencies
The theoretically predicted counts of occurrences across different categories in a contingency table, used in chi-squared tests.
- Recognize how the magnitude of the sample and the predicted frequencies affect the validity of chi-square evaluations.
Verified Answer
AC
aimee casasJul 28, 2024
Final Answer :
True
Explanation :
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.
Learning Objectives
- Recognize how the magnitude of the sample and the predicted frequencies affect the validity of chi-square evaluations.