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Unformatted text preview: err in the opposite way, too; you might fail to reject the null hypothesis when it is, in fact, incorrect. These two errors are called Type I and Type II, respectively. Table 1 presents the four possible outcomes of any hypothesis test based on (1) whether the null hypothesis was accepted or rejected and (2) whether the null hypothesis was true in reality. Table 1. Types of Statistical Errors H is actually: True False Reject H Type I error Correct Accept H Correct Type II error...
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- Fall '08