A Type II 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.

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A Type II error occurs when we fail to reject the null hypothesis even though the alternative hypothesis is true (i.e., the treatment does have an effect). This happens when the effect size is too small to be detected with the given sample size and test power.

A Type II Error Occurs When a Treatment Actually Does