F-test results will determine if the null hypothesis will be rejected or accepted. All test are ran with the assumption that the null hypothesis is true.
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Be able to reject the null hypothesis and accept the research hypothesis
This is used in statistic to know whether to accept or reject a null hypothesis or alternative hypothesis
At the same level of significance and against the same alternative hypothesis, the two tests are equivalent.
In statistics, we have to test the hypothesis i.e., null hypothesis and alternative hypothesis. In testing, most of the time we reject the null hypothesis, then using this power function result, then tell what is the probability to reject null hypothesis...
You reject the null hypothesis if the probability of the observed outcome, calculated under the null hypothesis, is smaller than some preset level. Commonly used levels are 10%, 5%, 1% or 0.1%.