A chi-square test should be used with caution when: A)the population is not assumed to be normally distributed. B)the total sample size exceeds 100. C)there is an expected frequency 5. D)there is an expected frequency

Question

A chi-square test should be used with caution when:
A)the population is not assumed to be normally distributed.
B)the total sample size exceeds 100.
C)there is an expected frequency > 5.
D)there is an expected frequency < 5.

Quizplus · Accepted Answer

The chi-square test requires that expected frequencies in each category be sufficiently large (usually at least 5) to ensure the validity of the test. When expected frequencies are less than 5, the chi-square approximation to the true distribution may not be accurate, leading to unreliable results.

A Chi-Square Test Should Be Used with Caution When