Kizspy | Question: 30
(Choose 1 answer)
The p-value in hypothesis testing represents:
A. The probability of making a type I error
B. The probability of making a type II error
C. The probability of observing the data, given that the null hypothesis is true
D. The probability of rejecting the null hypothesis
