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In: Statistics and Probability

A quality control inspector must estimate the proportion of defective microcomputer chips coming from two different...

A quality control inspector must estimate the proportion of defective microcomputer chips coming from two different assembly operations. She knows that, among the chips in the lot to be inspected, 60% are from assembly operation A and 40% are from assembly operation B. In a SRS of 100 chips, 38 turn out be from operation A and 62 from operation B. Among the sampled chips from operation A, six are defective. Among the sampled chips from operation B, ten are defective.

(a) Considering only the SRS of 100 chips, estimate the proportion of defectives in the lot, and provide a 95% confidence interval.

(b) Stratifying the sample, after selection, into chips from operation A and B, estimate the proportion of defectives in the population, and estimate the standard error. Ignore the finite population correction in both cases. Which answers do you find more acceptable?

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