The p-value method for hypothesis testing relies on the fact that
A)if the null hypothesis is false,then it is very unlikely to observe a p-value smaller than the chosen significance level.
B)if the null hypothesis is true,then it is very unlikely to observe a p-value larger than the chosen significance level.
C)if the null hypothesis is true,then it is very unlikely to observe a p-value smaller than the chosen significance level.
D)if the alternative hypothesis is true,then it is very unlikely to observe a p-value smaller than the chosen significance level.

Question

Quizplus · Accepted Answer

The p-value method for hypothesis testing is based on the principle that if the null hypothesis is true, it is very unlikely (less than the chosen significance level) to observe a test statistic that is as extreme as, or more extreme than, the one calculated from the sample data. This is what leads to the conclusion in option C.

The P-Value Method for Hypothesis Testing Relies on the Fact