In each case, indicate whether the statement is a proper interpretation of what a p-value measures.
(a) The probability the null hypothesis H₀ is true.
(b) The probability that the alternative hypothesis H_a is true.
(c) The probability of seeing data as extreme as the sample, when the null hypothesis H₀ is true.
(d) The probability of making a Type I error if the null hypothesis H₀ is true.
(e) The probability of making a Type II error if the alternative hypothesis H_a is true.