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Quantitative Data Analysis: Hypothesis Testing - ppt video online download : Type I Errors, Type II Errors and Statistical Power Type I error (): the probability of rejecting the null hypothesis when it is actually true. Type II error (): the probability of failing to reject the null hypothesis given that the alternative hypothesis is actually true. Statistical power (1 - ): the probability of correctly rejecting the null hypothesis.
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