Applied Statistics and Probability for Engineers
6th Edition
ISBN: 9781118539712
Author: Douglas C. Montgomery
Publisher: WILEY
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Question
Chapter 5.1, Problem 1E
a.
To determine
Show that the following
Compute
b.
To determine
Compute
c.
To determine
Compute
d.
To determine
Compute
e.
To determine
Compute
f.
To determine
Find marginal probability distribution of X.
g.
To determine
Find the conditional probability distribution of Y given that
h.
To determine
Find the conditional probability distribution of X given that
i.
To determine
Find
j.
To determine
Explain whether X and Y are independent or not.
Expert Solution & Answer
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Students have asked these similar questions
ons
12. A sociologist hypothesizes that the crime rate is higher in areas
with higher poverty rate and lower median income. She col-
lects data on the crime rate (crimes per 100,000 residents),
the poverty rate (in %), and the median income (in $1,000s)
from 41 New England cities. A portion of the regression results
is shown in the following table.
Standard
Coefficients
error
t stat
p-value
Intercept
-301.62
549.71
-0.55 0.5864
Poverty
53.16
14.22
3.74 0.0006
Income
4.95
8.26
0.60 0.5526
a.
b.
Are the signs as expected on the slope coefficients?
Predict the crime rate in an area with a poverty rate of
20% and a median income of $50,000.
3. Using data from 50 work
2. The owner of several used-car dealerships believes that the
selling price of a used car can best be predicted using the car's
age. He uses data on the recent selling price (in $) and age of
20 used sedans to estimate Price = Po + B₁Age + ε. A portion
of the regression results is shown in the accompanying table.
Standard
Coefficients
Intercept
21187.94
Error
733.42
t Stat p-value
28.89 1.56E-16
Age
-1208.25
128.95 -9.37
2.41E-08
a. What is the estimate for B₁? Interpret this value.
b. What is the sample regression equation?
C. Predict the selling price of a 5-year-old sedan.
ian income of $50,000.
erty rate of
13. Using data from 50 workers, a researcher estimates Wage =
Bo+B,Education + B₂Experience + B3Age+e, where Wage
is the hourly wage rate and Education, Experience, and Age
are the years of higher education, the years of experience, and
the age of the worker, respectively. A portion of the regression
results is shown in the following table. ni ogolloo bash
1
Standard
Coefficients error
t stat p-value
Intercept
7.87
4.09
1.93
0.0603
Education
1.44
0.34
4.24 0.0001
Experience
0.45
0.14
3.16
0.0028
Age
-0.01
0.08 -0.14 0.8920
a. Interpret the estimated coefficients for Education and
Experience.
b. Predict the hourly wage rate for a 30-year-old worker
with four years of higher education and three years of
experience.
Chapter 5 Solutions
Applied Statistics and Probability for Engineers
Ch. 5.1 - Prob. 1ECh. 5.1 - Prob. 2ECh. 5.1 - Prob. 3ECh. 5.1 - 5-4. Four electronic printers are selected from a...Ch. 5.1 - 5-5. In the transmission of digital information,...Ch. 5.1 - 5-6. A small-business Web site contains 100 pages...Ch. 5.1 - 5-7. A manufacturing company employs two devices...Ch. 5.1 - 5-8. Suppose that the random variables X, Y, and Z...Ch. 5.1 - 5-9. An engineering statistics class has 40...Ch. 5.1 - 5-10. An article in the Journal of Database...
Ch. 5.1 - 5-11. For the Transaction Processing Performance...Ch. 5.1 - 5-12. In the transmission of digital information,...Ch. 5.1 - Prob. 13ECh. 5.1 - Prob. 14ECh. 5.1 - Prob. 15ECh. 5.1 - Prob. 16ECh. 5.1 - Prob. 17ECh. 5.1 - 5-18. The conditional probability distribution of...Ch. 5.1 - Prob. 19ECh. 5.1 - 5-20. The time between surface finish problems in...Ch. 5.1 - 5-21. A popular clothing manufacturer receives...Ch. 5.1 - 5-22. The blade and the bearings are important...Ch. 5.1 - Prob. 23ECh. 5.1 - Prob. 24ECh. 5.1 - 5-25. Determine the value of c that makes fXYZ (x,...Ch. 5.1 - 5-26. The yield in pounds from a day’s production...Ch. 5.1 - 5-27. The weights of adobe bricks used for...Ch. 5.1 - 5-28. A manufacturer of electroluminescent lamps...Ch. 5.1 - 5-29. The lengths of the minor and major axes are...Ch. 5.1 - 5-30. An article in Health Economics [“Estimation...Ch. 5.1 - 5-31. An article in Clinical Infectious Diseases...Ch. 5.1 - Prob. 32ECh. 5.2 - Prob. 33ECh. 5.2 - Prob. 34ECh. 5.2 - Prob. 35ECh. 5.2 - Prob. 36ECh. 5.2 - Prob. 37ECh. 5.2 - Prob. 38ECh. 5.2 - Prob. 39ECh. 5.2 - Prob. 40ECh. 5.2 - Prob. 41ECh. 5.2 - Prob. 42ECh. 5.2 - Prob. 43ECh. 5.2 - 5-44. Determine the covariance and correlation for...Ch. 5.2 - Prob. 45ECh. 5.2 - Prob. 46ECh. 5.2 - Prob. 47ECh. 5.3 - 5-48. Test results from an electronic circuit...Ch. 5.3 - Prob. 49ECh. 5.3 - Prob. 50ECh. 5.3 - 5-51. Four electronic ovens that were dropped...Ch. 5.3 - Prob. 52ECh. 5.3 - Prob. 53ECh. 5.3 - 5-54. In an acid-base titration, a base or acid is...Ch. 5.3 - Prob. 55ECh. 5.3 - Prob. 56ECh. 5.3 - Prob. 58ECh. 5.3 - 5-59. If X and Y have a bivariate normal...Ch. 5.3 - 5-60. Show that the probability density function...Ch. 5.3 - Prob. 61ECh. 5.4 - Prob. 62ECh. 5.4 - 5-63. X and Y are independent, normal random...Ch. 5.4 - 5-64. Suppose that the random variable X...Ch. 5.4 - 5-65. A plastic casing for a magnetic disk is...Ch. 5.4 - 5-66. Making handcrafted pottery generally takes...Ch. 5.4 - 5-67. In the manufacture of electroluminescent...Ch. 5.4 - 5-68. The width of a casing for a door is normally...Ch. 5.4 - 5-69. An article in Knee Surgery Sports...Ch. 5.4 - 5-70. An automated filling machine fills...Ch. 5.4 - 5-71. The photoresist thickness in semiconductor...Ch. 5.4 - 5-72. Assume that the weights of individuals are...Ch. 5.4 - 5-73. Weights of parts are normally distributed...Ch. 5.4 - Prob. 74ECh. 5.4 - Prob. 75ECh. 5.4 - Prob. 76ECh. 5.4 - Prob. 77ECh. 5.4 - Prob. 78ECh. 5.5 - 5-79. Suppose that X is a random variable with...Ch. 5.5 - 5-80. Let X be a binomial random variable with p =...Ch. 5.5 - 5-81. Suppose that X is a continuous random...Ch. 5.5 - 5-83. A random variable X has the probability...Ch. 5.5 - Prob. 84ECh. 5.5 - Prob. 85ECh. 5.5 - Prob. 86ECh. 5.5 - Prob. 87ECh. 5.5 - Prob. 88ECh. 5.5 - 5-89. The computational time of a statistical...Ch. 5.5 - Prob. 90ECh. 5.6 - Prob. 91ECh. 5.6 - Prob. 92ECh. 5.6 - 5-93. The geometric random variable X has...Ch. 5.6 - 5-94. The chi-squared random variable with k...Ch. 5.6 - Prob. 95ECh. 5.6 - Prob. 96ECh. 5.6 - Prob. 98ECh. 5.6 - Prob. 99ECh. 5.6 - 5-100. Suppose that Xi has a normal distribution...Ch. 5 - Prob. 101SECh. 5 - 5-102. The percentage of people given an...Ch. 5 - Prob. 103SECh. 5 - Prob. 104SECh. 5 - Prob. 105SECh. 5 - Prob. 106SECh. 5 - Prob. 107SECh. 5 - Prob. 108SECh. 5 - Prob. 109SECh. 5 - 5-110. The weight of adobe bricks for construction...Ch. 5 - Prob. 111SECh. 5 - Prob. 112SECh. 5 - Prob. 113SECh. 5 - Prob. 114SECh. 5 - Prob. 116SECh. 5 - Prob. 117SECh. 5 - Prob. 118SECh. 5 - Prob. 119SECh. 5 - 5-120. An order of 15 printers contains 4 with a...Ch. 5 - Prob. 121SECh. 5 - Prob. 122SECh. 5 - Prob. 123SECh. 5 - Prob. 124SECh. 5 - Prob. 125SECh. 5 - Prob. 126SECh. 5 - Prob. 127SECh. 5 - Prob. 128SECh. 5 - Prob. 129SECh. 5 - Prob. 130SECh. 5 - Prob. 131SECh. 5 - Prob. 132SE
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