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It is desired to test : μ = 40 against : μ < 40 using α = .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 is really equal to 35, what is the probability that the hypothesis test would lead the investigator to commit a Type II error? A) .0427 B) .9573 C) .0854 D) .4573

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It is desired to test : μ = 40 against : μ < 40 using α = .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 is really equal to 35, what is the probability that the hypothesis test would lead the investigator to commit a Type II error?

A) .0427 B) .9573 C) .0854 D) .4573 

 
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