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Exercise 3

Avg difficulty 3.0

Quality control. As part of a quality control process for computer chips, an engineer at a factory randomly samples 212 chips during a week of production to test the current rate of chips with severe defects. She finds that 27 of the chips are defective.

  1. What population is under consideration in the data set?

  2. What parameter is being estimated?

  3. What is the point estimate for the parameter?

  4. What is the name of the statistic we use to measure the uncertainty of the point estimate?

  5. Compute the value from part (4) for this context.

  6. The historical rate of defects is 10%. Should the engineer be surprised by the observed rate of defects during the current week?

  7. Suppose the true population value was found to be 10%. If we use this proportion to recompute the value in part (5) using p=0.1p=0.1 instead of p^\hat{p}, does the resulting value change much?

Diez, Barr & Çetinkaya-Rundel, OpenIntro Statistics, Foundations for inference, End-of-Chapter Exercises, Exercise 3

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Adapted from OpenIntro Statistics © 2019 David Diez, Mine Çetinkaya-Rundel & Christopher D. Barr. Licensed under CC BY-SA 3.0. Source: OpenIntro Statistics. Imported at revision fee2509.