PROBABILITY AND STATISTICS FOR ENGINEER
9th Edition
ISBN: 2818000048605
Author: WALPOLE
Publisher: PEARSON
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Chapter 4.4, Problem 88RE
To determine
Show Chebyshev’s theorem for k=2 and k=3.
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Students have asked these similar questions
Compute the relative risk of falling for the two groups (did not stop walking vs. did stop). State/interpret your result verbally.
Microsoft Excel include formulas
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]
1
Chapter 4 Solutions
PROBABILITY AND STATISTICS FOR ENGINEER
Ch. 4.1 - The probability distribution of X, the number of...Ch. 4.1 - The probability distribution of the discrete...Ch. 4.1 - Find the mean of the random variable T...Ch. 4.1 - Prob. 4ECh. 4.1 - Prob. 5ECh. 4.1 - Prob. 6ECh. 4.1 - Prob. 7ECh. 4.1 - Prob. 8ECh. 4.1 - A private pilot wishes to insure his airplane for...Ch. 4.1 - Prob. 10E
Ch. 4.1 - The density function of coded measurements of the...Ch. 4.1 - Prob. 12ECh. 4.1 - Prob. 13ECh. 4.1 - Find the proportion X of individuals who can be...Ch. 4.1 - Prob. 15ECh. 4.1 - Prob. 16ECh. 4.1 - Let X be a random variable with the following...Ch. 4.1 - Find the expected value of the random variable...Ch. 4.1 - Prob. 19ECh. 4.1 - Prob. 20ECh. 4.1 - Prob. 21ECh. 4.1 - The hospitalization period, in days, for patients...Ch. 4.1 - Suppose that X and Y have the following joint...Ch. 4.1 - Prob. 24ECh. 4.1 - Prob. 25ECh. 4.1 - Prob. 26ECh. 4.1 - In Exercise 3.27 on page 93, a density function is...Ch. 4.1 - Prob. 28ECh. 4.1 - Prob. 29ECh. 4.1 - Prob. 30ECh. 4.1 - Prob. 31ECh. 4.1 - Prob. 32ECh. 4.2 - Use Definition 4.3 on page 120 to find the...Ch. 4.2 - Let X be a random variable with the following...Ch. 4.2 - Prob. 35ECh. 4.2 - Prob. 36ECh. 4.2 - Prob. 37ECh. 4.2 - Prob. 38ECh. 4.2 - Prob. 39ECh. 4.2 - Referring to Exercise 4.14 on page 117, find for...Ch. 4.2 - Prob. 41ECh. 4.2 - Prob. 42ECh. 4.2 - Prob. 43ECh. 4.2 - Prob. 44ECh. 4.2 - Find the covariance of the random variables X and...Ch. 4.2 - Prob. 46ECh. 4.2 - Prob. 47ECh. 4.2 - Prob. 48ECh. 4.2 - Prob. 49ECh. 4.2 - Prob. 50ECh. 4.2 - For the random variables X and Y in Exercise 3.39...Ch. 4.2 - Random variables X and Y follow a joint...Ch. 4.4 - Referring to Exercise 4.35 on page 127, find the...Ch. 4.4 - Using Theorem 4.5 and Corollary 4.6, find the mean...Ch. 4.4 - Suppose that a grocery store purchases 5 cartons...Ch. 4.4 - Prob. 56ECh. 4.4 - Prob. 57ECh. 4.4 - The total time, measured in units of 100 hours,...Ch. 4.4 - Prob. 59ECh. 4.4 - Prob. 60ECh. 4.4 - Prob. 61ECh. 4.4 - Prob. 62ECh. 4.4 - Prob. 63ECh. 4.4 - Prob. 64ECh. 4.4 - Prob. 65ECh. 4.4 - Prob. 66ECh. 4.4 - Prob. 67ECh. 4.4 - Prob. 68ECh. 4.4 - Prob. 69ECh. 4.4 - Prob. 70ECh. 4.4 - Prob. 71ECh. 4.4 - Prob. 72ECh. 4.4 - Prob. 73ECh. 4.4 - Prob. 74ECh. 4.4 - Prob. 75ECh. 4.4 - Prob. 76ECh. 4.4 - Prob. 77ECh. 4.4 - Compute P(μ − 2σ < X < μ + 2σ), where X has the...Ch. 4.4 - Prob. 79RECh. 4.4 - Prob. 80RECh. 4.4 - Prob. 81RECh. 4.4 - Prob. 82RECh. 4.4 - Prob. 83RECh. 4.4 - Prob. 84RECh. 4.4 - Prob. 85RECh. 4.4 - Prob. 86RECh. 4.4 - Prob. 87RECh. 4.4 - Prob. 88RECh. 4.4 - Prob. 89RECh. 4.4 - Prob. 90RECh. 4.4 - Prob. 91RECh. 4.4 - Prob. 92RECh. 4.4 - Prob. 93RECh. 4.4 - Prob. 94RECh. 4.4 - Prob. 95RECh. 4.4 - Prob. 96RECh. 4.4 - Prob. 97RECh. 4.4 - Prob. 98RECh. 4.4 - Prob. 99RECh. 4.4 - Prob. 100RECh. 4.4 - Prob. 101RECh. 4.4 - Project: Let X = number of hours each student in...
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- 4. (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_forwardName: Lab Time: Quiz 7 & 8 (Take Home) - due Wednesday, Feb. 26 Contingency Analysis (Ch. 9) In lab 5, part 3, you will create a mosaic plot and conducted a chi-square contingency test to evaluate whether elderly patients who did not stop walking to talk (vs. those who did stop) were more likely to suffer a fall in the next six months. I have tabulated the data below. Answer the questions below. Please show your calculations on this or a separate sheet. Did not stop walking to talk Stopped walking to talk Totals Suffered a fall Did not suffer a fall Totals 12 11 23 2 35 37 14 14 46 60 Quiz 7: 1. (2 pts) Compute the odds of falling for each group. Compute the odds ratio for those who did not stop walking vs. those who did stop walking. Interpret your result verbally.arrow_forward
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