In the decision that the null hypothesis is accepted,there must be enough evidence in the data that the alternative hypothesis is correct.

Question

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In the decision that the null hypothesis is accepted, it means that there is not enough evidence in the data to reject the null hypothesis. However, it does not necessarily mean that the alternative hypothesis is correct. It simply means that there is not enough evidence to support the alternative hypothesis over the null hypothesis. Therefore, the statement "there must be enough evidence in the data that the alternative hypothesis is correct" is false.

In the Decision That the Null Hypothesis Is Accepted,there Must