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It is desired to test H0: μ = 45 against Ha: μ < 45 using α = .10. The population in question is uniformly distributed with a standard deviation of 15. A random sample of 49 will be drawn from this population. If μ is really equal to 40, what is the probability that the hypothesis test would lead the investigator to commit a Type II error?
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