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    Type I and Type II Errors: Inverse Relationship

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    Explain why there is an inverse relationship between committing a Type I error and committing a Type II error. What is the best way to reduce both kinds of error?

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    Solution Preview

    In statistical hypothesis testing, one makes a type I error when a true null hypothesis is rejected (also known as a "false positive" finding), while one makes a type II error when a false null hypothesis is not rejected (also known as a "false negative" finding) [2]. ...

    Solution Summary

    This solution consists of details of how making type I and type II errors are related.