Which of the following statements is true regarding the chi-square goodness-of-fit test for normality?
A)The test does depend on which and how many categories we use for the histogram.
B)The test is not very effective unless the sample size is large,say,at least 80 or 100.
C)The test tends to be too sensitive if the sample size is really large.
D)None of these choices is true.
E)Choices a,b,and c are all true.

Question

Quizplus · Accepted Answer

The chi-square goodness-of-fit test for normality indeed depends on the number and type of categories used for the histogram (A), is more effective with larger sample sizes, typically recommended to be at least 80 or 100 (B), and can become overly sensitive with very large sample sizes, potentially leading to the rejection of the null hypothesis for trivial reasons (C).

Which of the Following Statements Is True Regarding the Chi-Square