Which of the following best describes the p-value of a test?
A)The p-value is the probability of getting our statistical table value of the test statistic if the null hypothesized value of the population parameter, were really true.
B)The p-value is the probability of getting our calculated test statistic or more extreme if the null hypothesized value of the population parameter, were really true.
C)The p-value is the probability of getting our calculated test statistic, or more extreme, if the null hypothesized value of the population parameter, were really false.
D)None of these choices are correct.

Question

Quizplus · Accepted Answer

The p-value is defined as the probability of obtaining a test statistic as extreme or more extreme than the observed test statistic under the assumption that the null hypothesis is true. In other words, it measures the strength of evidence against the null hypothesis. Therefore, Choice B is the correct definition of the p-value.

Which of the Following Best Describes the P-Value of a Test