Bundle: Modern Business Statistics with Microsoft Office Excel, Loose-Leaf Version, 6th + MindTap Business Statistics, 2 terms (12 months) Printed Access Card
6th Edition
ISBN: 9781337589383
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 21, Problem 20SE
a.
To determine
Obtain an approximate 95% confidence interval for the
b.
To determine
Obtain an approximate 95% confidence interval for the total salary of all 3000 employees.
c.
To determine
Obtain approximate 95% confidence interval for the population proportion.
d.
To determine
Check whether the opinion change when it is known that the respondents are guaranteed anonymity, that the results in part (c) is biased or not
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Question 2
A nickel-titanium alloy is used to make components for jet turbine aircraft engines. Cracking is a potentially
serious problem in the final part because it can lead to nonrecoverable failure. A test is run at the parts producer
to determine the effect of four factors on cracks. The four factors are: pouring temperature (A), titanium content
(B), heat treatment method (C), amount of grain refiner used (D). Two replicates of a 24 design are run, and
the length of crack (in mm x10-2) induced in a sample coupon subjected to a standard test is measured. The
data are shown in Table 2.
1
(a) Estimate the factor effects. Which factor effects appear to be large?
(b) Conduct an analysis of variance. Do any of the factors affect cracking? Use a = 0.05.
(c) Write down a regression model that can be used to predict crack length as a function of the significant
main effects and interactions you have identified in part (b).
(d) Analyze the residuals from this experiment.
(e) Is there an…
A 24-1 design has been used to investigate the effect of four factors on the resistivity of a silicon wafer. The data
from this experiment are shown in Table 4.
Table 4: Resistivity Experiment for Exercise 5
Run
A
B
с
D
Resistivity
1
23
2
3
4
5
6
7
8
9
10
11
12
I+I+I+I+Oooo
0
0
||++TI++o000
33.2
4.6
31.2
9.6
40.6
162.4
39.4
158.6
63.4
62.6
58.7
0
0
60.9
3
(a) Estimate the factor effects. Plot the effect estimates on a normal probability scale.
(b) Identify a tentative model for this process. Fit the model and test for curvature.
(c) Plot the residuals from the model in part (b) versus the predicted resistivity. Is there any indication on
this plot of model inadequacy?
(d) Construct a normal probability plot of the residuals. Is there any reason to doubt the validity of the
normality assumption?
Stem1: 1,4
Stem 2: 2,4,8
Stem3: 2,4
Stem4: 0,1,6,8
Stem5: 0,1,2,3,9
Stem 6: 2,2
What’s the Min,Q1, Med,Q3,Max?
Chapter 21 Solutions
Bundle: Modern Business Statistics with Microsoft Office Excel, Loose-Leaf Version, 6th + MindTap Business Statistics, 2 terms (12 months) Printed Access Card
Ch. 21.4 - 1. Simple random sampling was used to obtain a...Ch. 21.4 - Prob. 2ECh. 21.4 - Prob. 3ECh. 21.4 - Prob. 4ECh. 21.4 - Prob. 5ECh. 21.4 - Prob. 6ECh. 21.5 - 7. A stratified simple random sample was taken...Ch. 21.5 - Prob. 8ECh. 21.5 - Prob. 9ECh. 21.5 - 10. A population was divided into three strata...
Ch. 21.5 - Prob. 11ECh. 21.5 - Prob. 12ECh. 21.5 - Prob. 13ECh. 21.6 - Prob. 14ECh. 21.6 - 15. A sample of six clusters is to be taken from a...Ch. 21.6 - Prob. 16ECh. 21.6 - Prob. 17ECh. 21 - Prob. 18SECh. 21 - Prob. 19SECh. 21 - Prob. 20SECh. 21 - Prob. 21SECh. 21 - Prob. 22SECh. 21 - Prob. 23SECh. 21 - 24. A public agency is interested in learning more...
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