Hypothesis Testing Type I and Type II Errors

In  statistics a  Type I error  is a false positive conclusion while a  Type II error  is a false negative conclusion The probability of making a Type I error is the significance level or alpha α while the probability of making a Type II error is beta β These risks can be minimized through careful planning in your study design

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