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It Is Desired to Test H0:μ=40H _ { 0 } : \mu = 40

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It is desired to test H0:μ=40H _ { 0 } : \mu = 40 against Ha:μ<40H _ { \mathrm { a } } : \mu < 40 using α=.10\alpha = .10 . The population in question is uniformly distributed with a standard deviation of 10 . A random sample of 36 will be drawn from this population. If μ\mu is really equal to 35 , what is the probability that the hypothesis test would lead the investigator to commit a Type II error?


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