Statistics for Engineers and Scientists
Statistics for Engineers and Scientists
4th Edition
ISBN: 9780073401331
Author: William Navidi Prof.
Publisher: McGraw-Hill Education
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Chapter 10.4, Problem 1E

Refer to Exercise 3 in Section 10.2.

  1. a. Delete any samples necessary to bring the process variation under control. (You did this already if you did Exercise 3 in Section 10.2.)
  2. b. Use R ¯ to estimate σ x ¯ ( σ x ¯ is the difference between X ¯ ¯ and the 1σ control limit on an X ¯ chart).
  3. c. Construct a CUSUM chart, using X ¯ ¯ for the target mean μ, and the estimate of σ x ¯ found in part (b) for the standard deviation. Use the values k = 0.5 and h = 4.
  4. d. Is the process mean in control? If not, when is it first detected to be out of control?
  5. e. Construct an X ¯ chart, and use the Western Electric rules to determine whether the process mean is in control. (You did this already if you did Exercise 3 in Section 10.2.) Do the Western Electric rules give the same results as the CUSUM chart? If not, how are they different?
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1. Let 2 (a, b, c)} be the sample space. (a) Write down the power set of 2. (b) Construct a σ-field containing A = {a, b} and B = {b, c}. (c) Show that F= {0, 2, {a, b}, {b, c}, {b}} is not a σ-field. Add some elements to make it a σ-field..
13. Let (, F, P) be a probability space and X a function from 2 to R. Explain when X is a random variable.
24. A factory produces items from two machines: Machine A and Machine B. Machine A produces 60% of the total items, while Machine B produces 40%. The probability that an item produced by Machine A is defective is P(DIA)=0.03. The probability that an item produced by Machine B is defective is P(D|B)=0.05. (a) What is the probability that a randomly selected product be defective, P(D)? (b) If a randomly selected item from the production line is defective, calculate the probability that it was produced by Machine A, P(A|D).

Chapter 10 Solutions

Statistics for Engineers and Scientists

Ch. 10.2 - A process has mean 12 and standard deviation 3....Ch. 10.2 - A process has mean 8 and standard deviation 2. The...Ch. 10.2 - A process is monitored by taking samples at...Ch. 10.2 - Prob. 8ECh. 10.2 - Repeat Exercise 8, using the S chart in place of...Ch. 10.2 - Prob. 10ECh. 10.2 - Repeat Exercise 10, using the S chart in place of...Ch. 10.2 - Copper wires are coated with a thin plastic...Ch. 10.2 - Repeat Exercise 12, using the S chart in place of...Ch. 10.3 - Prob. 1ECh. 10.3 - The target fill weight for a box of cereal is 350...Ch. 10.3 - Prob. 3ECh. 10.3 - Refer to Exercise 3. In the last 50 samples, there...Ch. 10.3 - A newly designed quality-control program for a...Ch. 10.3 - Prob. 6ECh. 10.3 - Prob. 7ECh. 10.3 - Each hour, a 10 m2 section of fabric is inspected...Ch. 10.4 - Refer to Exercise 3 in Section 10.2. a. Delete any...Ch. 10.4 - Refer to Exercise 8 in Section 10.2. a. Delete any...Ch. 10.4 - Prob. 3ECh. 10.4 - Refer to Exercise 12 in Section 10.2.ss a. Delete...Ch. 10.4 - Prob. 5ECh. 10.4 - Prob. 6ECh. 10.5 - The thickness specification for aluminum sheets is...Ch. 10.5 - The specification for the diameters of ball...Ch. 10.5 - Refer to Exercise 2. a. To what value should the...Ch. 10.5 - Refer to Exercise 1. a. To what value should the...Ch. 10.5 - A process has a process capability index of Cp =...Ch. 10 - Prob. 1SECh. 10 - Prob. 2SECh. 10 - Prob. 3SECh. 10 - Prob. 4SECh. 10 - Prob. 5SECh. 10 - Prob. 6SECh. 10 - To set up a p chart to monitor a process that...

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