In hypothesis testing, what does a p-value represent?

(A) The probability of making a Type I error
(B) The probability of rejecting the null hypothesis when it is true
(C) The probability of obtaining the observed results or more extreme results if the null hypothesis is true
(D) The probability of obtaining a sample mean equal to the population mean

The answer is: (C) The probability of obtaining the observed results or more extreme results if the null hypothesis is true