You must be able to identify the PATIERN of questions . For any numeric population, you can ask the following pattern of questions: Suppose a chain consists of 81 links where the mean length of a link is 0.7 ern with a standard deviation of 0.06 ern. What's the probability that(a) a link is more than 0.71 cm? (b) a chain is more than 57.51 (≈ 81 x 0.71) cm? (c) at least ten links in a chain are more than 0.71 cm? (d) at least ten of 100 chains are more than 57.51 cm? (e) at least 20% of the links in a chain are too long (more than 0.71 cm)? Or if you did NOT know that μ = 0.7, you might get these questions: (f) Based on the fact that one chain which you happen to have is 57.51 ern long, what's the length of a link (from among ALL links)? (g) We believe the links are about 0.7 ern long. Does that seem to be inconsistent with the fact that this chain is 57.51 ern long? (h) We will be monitoring the lengths of the links to be sure they meet specifications: The mean length of a link should be 0.7 em with a standard deviation of 0.06 ern.
You must be able to identify the PATIERN of questions . For any numeric population, you can ask…
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