If you analyze your data and fail to reject the null hypothesis, you should A) reject H_l B) adopt H_l C) either reject H_l or adopt H_l depending on the $\alpha$ level D) neither reject H_l nor adopt H_l.

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Quizplus · Accepted Answer

Failing to reject the null hypothesis means you do not have sufficient evidence against it, but it does not mean you accept it as true. You simply continue with the assumption that the null hypothesis might be true, without making a definitive conclusion towards its validity.

If You Analyze Your Data and Fail to Reject the Null