Which statement defines p-value?
A . It is the probability of accepting a null hypothesis when the hypothesis is proven true.
B . It is the probability of rejecting a null hypothesis when the hypothesis is proven false.
C . It is the probability of accepting a null hypothesis when the hypothesis is proven false.
D . It is the probability of rejecting a null hypothesis when the hypothesis is proven true.
Answer: C
Explanation:
Reference: https://courses.lumenlearning.com/wmopen-concepts-statistics/chapter/introduction-to-hypothesis-testing-5-of-5/