various errors in statistics
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Two potential types of statistical error are Type I error (α, or level of significance), when one falsely rejects a null hypothesis that is true, and Type II error (β), when one fails to reject a null hypothesis that is false. ... Reducing Type I error tends to increase Type II error, and vice versa.
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