Asked by Sara
TRUE or FALSE: The p-value of a hypothesis test is the probability that the null
hypothesisis true given the sample statistic obtained.
hypothesisis true given the sample statistic obtained.
Answers
Answered by
John
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.
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.
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