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Unformatted text preview: calculated x-bar value and comparing to a set of critical “z” values. (2) Suppose the mean feed rate suddenly shifts to a value of μ =105. What is the probability of making a “Type II” error ? (3) Draw the “O-C Curve” for a range of μ values between 92 and 108 in unit increments. (4) Repeat Parts (1)-(3) using α = 0.10. Discuss and compare these two sets of results. (5) There are two parameters that directly impact this sort of hypothesis test…One is α and the other is the sample size , n. Suppose that n is increased to 100 in parts (1) and (2). What impact does this have on your inspection decision rules. What can you infer about the relationship between the magnitude of the Type I error ( α ), the Type II error ( β ) and the sample size, n....
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- Spring '10
- Probability theory, Type I and type II errors, calculated x-bar value, critical x-bar values, sample x-bar value, paced production line