Determining probability of type ii error when alpha = .05
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Type I Error – rejecting the null when it is true. Type II Error – failing to reject the null when it is false. The probability of a Type I Error in hypothesis testing is predetermined by the significance level. The power of a hypothesis test is nothing more than 1 minus the probability of a Type II error.
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