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

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It is desired to test H0:μ=40\mathrm { H } _ { 0 } : \mu = 40 against H1:μ<40\mathrm { H } _ { 1 } : \mu < 40 using α=0.10\alpha = 0.10 . 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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