The probability of making a Type II error increases when the: Group of answer choices significance level is set very high. effect size is small. sample size is large. probability of a Type I error is high.
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A Type II error occurs when we fail to reject a null hypothesis that is actually false. This means we conclude that there is no effect or difference when, in fact, there is one. Show more…
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