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Whenever a decision is made there is the chance of an error. In statistics decisions are made when considering hypotheses, either we accept the null or we reject the null.. If we reject the null, but the null is true, then we have made a Type I error.. If we accept the null, but the null is false, then we have made a Type II error..

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