In hypothesis testing, the decision to "accept" the null hypothesis is the same as the decision to "fail to reject" the null hypothesis.

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In hypothesis testing, "fail to reject" the null hypothesis means there is not enough evidence to support the alternative hypothesis, whereas "accept" the null hypothesis implies that the null hypothesis is proven to be true, which is not a conclusion drawn in hypothesis testing.

In Hypothesis Testing, the Decision to "Accept" the Null Hypothesis