Type I and II errors and significance level — Krista King Math | Online math help
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Type I and II errors and significance level — Krista King Math | Online math help
Type I error rate is the rejecting the null hypothesis when it’s true, and Type II error rate is the probability of accepting the null hypothesis when it’s false. Type I error is called “alpha,” and Type II error is called “beta.”
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