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Is the null hypothesis more likely to be rejected at alpha = 0.01 than alpha = 0.10? As the significance level increases to alpha = 0.10 from alpha = 0.01, which type of error (type I error or type II error) is more likely to occur? What may be done to reduce the likelihood of incurring this error? Why does the significance level, alpha, differ among industries?

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