Student Solutions Manual for Devore's Probability and Statistics for Engineering and the Sciences, 9th
9th Edition
ISBN: 9798214004020
Author: Jay L. Devore
Publisher: Cengage Learning US
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Chapter 7.2, Problem 19E
The article “Limited Yield Estimation for Visual Defect Sources” (IEEE Trans. on Semiconductor Manuf., 1997: 17–23) reported that, in a study of a particular wafer inspection process, 356 dies were examined by an inspection probe and 201 of these passed the probe. Assuming a stable process, calculate a 95% (two-sided) confidence interval for the proportion of all dies that pass the probe.
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The article “Limited Yield Estimation for Visual Defect Sources” (IEEE Trans. on Semiconductor Manuf., 1997: 17–23) reported that, in a study of a particular wafer inspection process, 356 dies were examined by an inspection probe and 201 of these passed the probe.
a) Assuming a stable process, calculate a 95% (two-sided) confidence interval for the proportion of all dies that pass the probe.
b) perform the corresponding two-tailed hypothesis test
The report "Comparative Study of Two Computer Mouse Designs"t included the following description of the subjects used in an experiment.
Twenty-four Cornell University students and staff (12 males and 12 females) volunteered to participate in the study. Three groups of 4 men and 4 women were selected by their stature to represent the
5th percentile (female 152.1 ± 0.3 cm, male 164.1 ± 0.4 cm), 50th percentile (female 162.4 ± 0.1 cm, male 174.1 ± 0.7 cm), and 95th percentile (female 171.9 ± 0.2 cm, male 185.7 ± 0.6 cm) ranges.... All
subjects reported using their right hand to operate a computer mouse.
This experimental design incorporated direct control and blocking.
(a) Is the potential effect of the extraneous variable stature (height) addressed by blocking or direct control?
O blocking
direct control
(b) Whether the right or left hand is used to operate the mouse was considered to be an extraneous variable. Is the potential effect of this variable addressed by blocking or direct…
The article "Withdrawal Strength of Threaded Nails" (D. Rammer, S. Winistorfer, and D.
Bender, Journal of Structural Engineering, 2001:442–449) describes an experiment
comparing the withdrawal strengths for several types of nails. The data presented in the
following table are consistent with means and standard deviations reported in the article for
three types of nails: annularly threaded, helically threaded, and smooth shank. All nails had
diameters within 0.1 mm of each other, and all were driven into the same type of lumber.
Nail
Withdrawal Strength (N/mm)
Type
Annularly 36.57 29.67 43.38 26.94 12.03 21.66 41.79 31.50 35.84 40.81
threaded
Helically 14.66 24.22 23.83 21.80 27.22 38.25 28.15 36.35 23.89 28.44
threaded
Smooth
12.61 25.71 17.69 24.69 26.48 19.35 28.60 42.17 25.11 19.98
shank
Construct an ANOVA table. You may give a range for the P-value.
Can you conclude that the mean withdrawal strength is different for different nail
types?
a.
b.
Chapter 7 Solutions
Student Solutions Manual for Devore's Probability and Statistics for Engineering and the Sciences, 9th
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