When you are working with a percent hypothesis,the interpretation of a hypothesis test is directly linked to the sampling distribution concept,but that is not the case with an average hypothesis.

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The interpretation of a hypothesis test for an average hypothesis is also linked to the sampling distribution concept. Both percent and average hypotheses involve comparing a sample statistic to a population parameter, and the sampling distribution helps determine the probability of observing the sample statistic if the null hypothesis is true.

When You Are Working with a Percent Hypothesis,the Interpretation of a Hypothesis