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Determine if the following statements are true (T) or false (F). And explain. 1. The level of significance () of a test is the probability

Determine if the following statements are true (T) or false (F). And explain. 1. The level of significance () of a test is the probability that one rejects a true alternative hypothesis. (T or F) 2. Type I error is an error in which the alternative hypothesis is rejected when it is true. (T or F)

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