A Type I error occurs when a treatment actually does have an effect on the scores but the effect was not large enough to reject the null hypothesis.

Question

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This statement is incorrect. A Type I error occurs when the null hypothesis is rejected (i.e., there is a significant difference between groups or conditions) when in reality there is no difference (i.e., the null hypothesis is actually true). It is not related to the size of the effect.

A Type I Error Occurs When a Treatment Actually Does