TRUE or FALSE: The p-value of a hypothesis test is the probability that the null

Question

hypothesisis true given the sample statistic obtained.

Answer 1

Ho: null hypothesis
Ha: alternative hypothesis

When you do a test, if you p-value is small enough than you can reject the null hypothesis which means there is not enough evidence to support the null.

If the p-value is large than you fail to reject the null

You are usually comparing your calculated p-value with a significance level that has been set for the test. Common levels are alpha = .01, .05 or .10.

If you are using an alpha of .05

and your p-value is .2 then you would not reject the null.

if you p-value is .001 then you would fail to reject the null.