Probability and Statistics for Engineering and the Sciences
Probability and Statistics for Engineering and the Sciences
9th Edition
ISBN: 9781305251809
Author: Jay L. Devore
Publisher: Cengage Learning
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Chapter 6.1, Problem 11E

Of n1 randomly selected male smokers, X1 smoked filter cigarettes, whereas of n2 randomly selected female smokers. X2 smoked filter cigarettes. Let p1 and p2 denote the probabilities that a randomly selected male and female, respectively, smoke filter cigarettes.

  1. a. Show that (X1/n1) - (X2/n2) is an unbiased estimator for p1 - p2. [Hint: E(X) = nipi for i = 1, 2.]
  2. b. What is the standard error of the estimator in part (a)?
  3. c. How would you use the observed values x1 and x2 to estimate the standard error of your estimator?
  4. d. If n1 = n2 = 200, x1 = 127, and x2 = 176, use the estimator of part (a) to obtain an estimate of p1 - p2.
  5. e. Use the result of part (c) and the data of part (d) to estimate the standard error of the estimator.
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Of n1 randomly selected male smokers, X1 smoked filter cigarettes, whereas of n2 randomly selected female smokers, X2 smoked filter cigarettes. Let p1 and p2 denote the probabilities that a randomly selected male and female, respectively, smoke filter cigarettes. (a) Show that  (X1/n1) − (X2/n2) is an unbiased estimator for p1 − p2. [Hint: E(Xi) = nipi for i = 1, 2.] E   X1 n1  −  X2 n2   = 1 n1 E                 −  1 n2 E                  = 1 n1                 −  1 n2                  = p1 − p2 (b) What is the standard error of the estimator in part (a)?   (d) If n1 = n2 = 206, x1 = 134, and x2 = 165, use the estimator of part (a) to obtain an estimate of p1 − p2. (Round your answer to three decimal places.)
Let X be a Poisson random variable with E(X) = 3. Find P(2 < x < 4).
A pharmaceutical company has developed a new drug to help relieve acid reflux. However, as with all new drugs, there are concerns about adverse side effects. To check this, the company administers the drug to n randomly chosen people with acid reflux, and it finds that k of them experience adverse side effects. The company hopes to reject the null hypothesis that the proportion of drug-takers who experience adverse side effects is at least 0.5%. Which of the following is true?   a. If n=1,250 and k=1, this is enough evidence to reject the null at the 1% level.     b. If n=1,000 and k=3, this is enough evidence to reject the null at the 10% level.     c. If n=4,000 and k=9, this is enough evidence to reject the null at the 1% level.     d. If n=1,600 and k=4, this is enough evidence to reject the null at the 5% level.

Chapter 6 Solutions

Probability and Statistics for Engineering and the Sciences

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