A test for a binomial proportion fails to reject the null hypothesis at the 1% level of significance. Which one of the following is true? Answers: a. A mistake has been made and the null hypothsis should be rejected b. p-value > 0.01 c. p-value < 0.01 d. p-value > 0.05

When a test for a binomial proportion fails to reject the null hypothesis at the 1% level of significance, it means that the p-value (the probability of observing a test statistic as extreme as, or more extreme than, the one obtained from the sample) is greater than 0.01. So, the correct answer is: b. p-value > 0.01 This indicates that there is not enough evidence to reject the null hypothesis at the 1% significance level.