Type I error in hypothesis testing is

acceptance of the null hypothesis when it is false and should be rejected
rejection of the null hypothesis when it is true and should be accepted
rejection of the null hypothesis when it is false and should be rejected
acceptance of the null hypothesis when it is true and should be accepted

Correct answer: rejection of the null hypothesis when it is true and should be accepted

Solution

A Type I error occurs when a true null hypothesis is incorrectly rejected, leading to a false conclusion that there is an effect or difference when none exists.

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