The p-value of a sample is the probability of seeing a sample with
A) at most as much evidence in favor of the null hypothesis as the sample actually observed.
B) at most as much evidence in favor of the alternative hypothesis as the sample actually observed.
C) at least as much evidence in favor of the null hypothesis as the sample actually observed.
D) at least as much evidence in favor of the alternative hypothesis as the sample actually observed.

Question

Quizplus · Accepted Answer

The p-value is the probability of observing a sample statistic as extreme as the one observed, or more so, assuming the null hypothesis is true. This means it measures the evidence against the null hypothesis, in favor of the alternative hypothesis.

The P-Value of a Sample Is the Probability of Seeing