In testing the null hypothesis "H0: The process is in control", explain the difference between a Type I error and Type II error


A Type I error is rejecting a true null hypothesis; therefore, a Type I error in this situation will result in a belief that the process is not in control when it really is. A Type II error is failing to reject a false null hypothesis; therefore, a Type II error in this situation will result in a belief that the process is in control when it really is not.

Business

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