EBK STATISTICS FOR ENGINEERS AND SCIENT
4th Edition
ISBN: 9780100274389
Author: Navidi
Publisher: YUZU
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Chapter 10.2, Problem 11E
Repeat Exercise 10, using the S chart in place of the R chart.
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A major company in the Montreal area, offering a range of engineering services from project preparation to construction execution, and industrial project management, wants to ensure that the individuals who are responsible for project cost estimation and bid preparation demonstrate a certain uniformity in their estimates. The head of civil engineering and municipal services decided to structure an experimental plan to detect if there could be significant differences in project evaluation.
Seven projects were selected, each of which had to be evaluated by each of the two estimators, with the order of the projects submitted being random. The obtained estimates are presented in the table below.
a) Complete the table above by calculating: i. The differences (A-B) ii. The sum of the differences iii. The mean of the differences iv. The standard deviation of the differences
b) What is the value of the t-statistic?
c) What is the critical t-value for this test at a significance level of 1%?…
Compute the relative risk of falling for the two groups (did not stop walking vs. did stop). State/interpret your result verbally.
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Chapter 10 Solutions
EBK STATISTICS FOR ENGINEERS AND SCIENT
Ch. 10.1 - Indicate whether each of the following quality...Ch. 10.1 - True or false: a. Control charts are used to...Ch. 10.1 - Prob. 3ECh. 10.1 - Prob. 4ECh. 10.1 - True or false: a. When a process is in a stale of...Ch. 10.1 - Prob. 6ECh. 10.2 - The quality-control plan for a certain production...Ch. 10.2 - The following X chart depicts the last 50 samples...Ch. 10.2 - The thickness, in mm, of metal washers is measured...Ch. 10.2 - Repeat Exercise 3, using the S chart in place of...
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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- Question 1 The data shown in Table 1 are and R values for 24 samples of size n = 5 taken from a process producing bearings. The measurements are made on the inside diameter of the bearing, with only the last three decimals recorded (i.e., 34.5 should be 0.50345). Table 1: Bearing Diameter Data Sample Number I R Sample Number I R 1 34.5 3 13 35.4 8 2 34.2 4 14 34.0 6 3 31.6 4 15 37.1 5 4 31.5 4 16 34.9 7 5 35.0 5 17 33.5 4 6 34.1 6 18 31.7 3 7 32.6 4 19 34.0 8 8 33.8 3 20 35.1 9 34.8 7 21 33.7 2 10 33.6 8 22 32.8 1 11 31.9 3 23 33.5 3 12 38.6 9 24 34.2 2 (a) Set up and R charts on this process. Does the process seem to be in statistical control? If necessary, revise the trial control limits. [15 pts] (b) If specifications on this diameter are 0.5030±0.0010, find the percentage of nonconforming bearings pro- duced by this process. Assume that diameter is normally distributed. [10 pts] 1arrow_forward4. (5 pts) Conduct a chi-square contingency test (test of independence) to assess whether there is an association between the behavior of the elderly person (did not stop to talk, did stop to talk) and their likelihood of falling. Below, please state your null and alternative hypotheses, calculate your expected values and write them in the table, compute the test statistic, test the null by comparing your test statistic to the critical value in Table A (p. 713-714) of your textbook and/or estimating the P-value, and provide your conclusions in written form. Make sure to show your work. Did not stop walking to talk Stopped walking to talk Suffered a fall 12 11 Totals 23 Did not suffer a fall | 2 Totals 35 37 14 46 60 Tarrow_forwardQuestion 2 Parts manufactured by an injection molding process are subjected to a compressive strength test. Twenty samples of five parts each are collected, and the compressive strengths (in psi) are shown in Table 2. Table 2: Strength Data for Question 2 Sample Number x1 x2 23 x4 x5 R 1 83.0 2 88.6 78.3 78.8 3 85.7 75.8 84.3 81.2 78.7 75.7 77.0 71.0 84.2 81.0 79.1 7.3 80.2 17.6 75.2 80.4 10.4 4 80.8 74.4 82.5 74.1 75.7 77.5 8.4 5 83.4 78.4 82.6 78.2 78.9 80.3 5.2 File Preview 6 75.3 79.9 87.3 89.7 81.8 82.8 14.5 7 74.5 78.0 80.8 73.4 79.7 77.3 7.4 8 79.2 84.4 81.5 86.0 74.5 81.1 11.4 9 80.5 86.2 76.2 64.1 80.2 81.4 9.9 10 75.7 75.2 71.1 82.1 74.3 75.7 10.9 11 80.0 81.5 78.4 73.8 78.1 78.4 7.7 12 80.6 81.8 79.3 73.8 81.7 79.4 8.0 13 82.7 81.3 79.1 82.0 79.5 80.9 3.6 14 79.2 74.9 78.6 77.7 75.3 77.1 4.3 15 85.5 82.1 82.8 73.4 71.7 79.1 13.8 16 78.8 79.6 80.2 79.1 80.8 79.7 2.0 17 82.1 78.2 18 84.5 76.9 75.5 83.5 81.2 19 79.0 77.8 20 84.5 73.1 78.2 82.1 79.2 81.1 7.6 81.2 84.4 81.6 80.8…arrow_forward
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