What is the rejection region for the hypothesis test?
The rejection region is the interval, measured in the sampling distribution of the statistic under study, that leads to rejection of the null hypothesis H 0 in a hypothesis test.
What is a critical value in statistics?
A critical value is a line on a graph that splits the graph into sections. One or two of the sections is the “rejection region“; if your test value falls into that region, then you reject the null hypothesis. A one tailed test with the rejection in one tail.
What is the region of rejection?
For a hypothesis test, a researcher collects sample data. If the statistic falls within a specified range of values, the researcher rejects the null hypothesis . The range of values that leads the researcher to reject the null hypothesis is called the region of rejection.
What is p-value in statistics?
The p-value is a number, calculated from a statistical test, that describes how likely you are to have found a particular set of observations if the null hypothesis were true. P-values are used in hypothesis testing to help decide whether to reject the null hypothesis.
What does p value less than 0.01 mean?
It is a measure of how much evidence we have against the null hypothesis, which is the hypothesis of no change or no difference. A p-value less than 0.01 will under normal circumstances mean that there is substantial evidence against the null hypothesis.
How do you know if you reject the null hypothesis?
After you perform a hypothesis test, there are only two possible outcomes. When your p-value is less than or equal to your significance level, you reject the null hypothesis. The data favors the alternative hypothesis. When your p-value is greater than your significance level, you fail to reject the null hypothesis.
What does it mean when you reject the null hypothesis?
After a performing a test, scientists can: Reject the null hypothesis (meaning there is a definite, consequential relationship between the two phenomena), or. Fail to reject the null hypothesis (meaning the test has not identified a consequential relationship between the two phenomena)