You want to test whether a random sample of test scores could have arisen from a normally distributed population, so you run a formal chi-square test of normality on the data. Which of the following is true?

a. An abnormally large chi-square test statistic is evidence that the population is not normal.

b. A large p-value, such as 0.43, is evidence that the population is not normal.

c. The bins used are irrelevant. If the null hypothesis can be rejected for one set of bins, it will be rejected for any other set of bins.

d. All of these choices are true.