Find the probability of a false positive (Type I error) or false negative (Type II error).
Added by Susan R.
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A false positive (Type I error) occurs when we reject a null hypothesis that is actually true. In other words, we conclude that there is a significant effect or difference when there really isn't one. A false negative (Type II error) occurs when we fail to Show more…
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