When testing a hypothesis in any particular study, we can make either a Type 1 error or a Type 2 error, but not both.

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Quizplus · Accepted Answer

A Type 1 error is rejecting the null hypothesis when it is true, while a Type 2 error is failing to reject the null hypothesis when it is false. It is not possible to make both errors in the same study because if the null hypothesis is true, then it cannot be rejected (Type 1 error), and if the null hypothesis is false, then it must be rejected (Type 2 error).

When Testing a Hypothesis in Any Particular Study, We Can