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Business Statistics: A First
ST
Course, 8th Edition
UV
SOLUTIONS
IA
MANUAL
?_
AP
David M. Levine, Kathryn A. Szabat, David F. Stephan
PR
Comprehensive Solutions Manual for Instructors
and Students
OV
||| ||| || ||| || | || ||| | || ||| |
9780135177785
© David M. Levine, Kathryn A. Szabat & David F. Stephan. All
ED
rights reserved. Reproduction or distribution without permission is
prohibited.
?
© MEDGEEK
, TABLE OF CONTENTS
Solutions Manual – Business Statistics: A First Course (8th Edition)
Authors: David M. Levine, Kathryn A. Szabat, and David F. Stephan
ST
ISBN: 9780135177785
PART I: DEFINING AND DESCRIBING DATA
Chapter 1: Defining and Collecting Data
UV
Chapter 2: Organizing and Visualizing Variables
Chapter 3: Numerical Descriptive Measures
PART II: PROBABILITY AND THE NORMAL DISTRIBUTION
Chapter 4: Basic Probability
IA
Chapter 5: Discrete Probability Distributions
Chapter 6: The Normal Distribution
PART III: STATISTICAL INFERENCE
?_
Chapter 7: Sampling Distributions
Chapter 8: Confidence Interval Estimation
Chapter 9: Fundamentals of Hypothesis Testing (One-Sample Tests)
AP
Chapter 10: Two-Sample Tests and One-Way ANOVA
Chapter 11: Chi-Square Tests
PART IV: REGRESSION ANALYSIS
PR
Chapter 12: Simple Linear Regression
Chapter 13: Multiple Regression
PART V: ANALYTICS AND QUALITY MANAGEMENT
Chapter 14: Business Analytics
OV
Chapter 15: Statistical Applications in Quality Management (Online)
ED
?
, CHAPTER 1
1.1 The type of beverage sold yields categorical or “qualitative” responses.
ST
1.2 Business size represents a categorical variable because each size represents a particular category.
1.3 The time it takes to download a video from the Internet is a continuous numerical or
“quantitative” variable because time can have any value from 0 to any reasonable unit of time
UV
1.4 (a) The number of cellphones is a numerical variable that is discrete because the outcome is
a count.
(b) Monthly data usage is a numerical variable that is continuous because any value within a
range of values can occur.
(c) Number of text messages exchanged per month is a numerical variable that is discrete
because the outcome is a count.
IA
(d) Voice usage per month is a numerical variable that is continuous because any value
within a range of values can occur.
(e) Whether a cellphone is used for streaming video is a categorical variable because the
answer can be only yes or no.
?_
1.5 (a) numerical, continuous
(b) numerical, discrete
(c) categorical
(d) categorical
AP
1.6 (a) Categorical
(b) Numerical, continuous
(c) Categorical
(d) Numerical, discrete
(e) Categorical
PR
1.7 (a) numerical, continuous *
(b) categorical
(c) categorical
(d) numerical, discrete
*Some researchers consider money as a discrete numerical variable because it can be “counted.”
OV
1.8 (a) numerical, continuous *
(b) numerical, discrete
(c) numerical, continuous *
(d) categorical
*Some researchers consider money as a discrete numerical variable because it can be “counted.”
ED
1.9 (a) Income may be considered discrete if we “count” our money. It may be considered
continuous if we “measure” our money; we are only limited by the way a country's
monetary system treats its currency.
(b) The first format would provide more information because it includes a ratio scale value
while the second measure would only include a range of values for each choice category.
?
Copyright ©2020 Pearson Education, Inc.
29
, 30 Chapter 1: Defining and Collecting Data
1.10 The underlying variable, ability of the students, may be continuous, but the measuring device, the
test, does not have enough precision to distinguish between the two students.
1.11 (a) The population is “all working women from the metropolitan area.” A systematic or
random sample could be taken of women from the metropolitan area. The director might
ST
wish to collect both numerical and categorical data.
(b) Three categorical questions might be occupation, marital status, type of clothing.
Numerical questions might be age, average monthly hours shopping for clothing, income.
1.12 (a) Data distributed by an organization or individual.
UV
(b) The American Community Survey is based on a sample.
1.13 The answer depends on the specific story.
1.14 The answer depends on the specific story.
IA
1.15 The transportation engineers and planners should use primary data collected through an
observational study of the driving characteristics of drivers over the course of a month.
1.16 The information presented there is based mainly on a mixture of data distributed by an organization
?_
and data collected by ongoing business activities.
1.17 (a) 001
(b) 040
(c) 902
AP
1.18 Sample without replacement: Read from left to right in 3-digit sequences and continue unfinished
sequences from end of row to beginning of next row.
Row 05: 338 505 855 551 438 855 077 186 579 488 767 833 170
Rows 05-06: 897
PR
Row 06: 340 033 648 847 204 334 639 193 639 411 095 924
Rows 06-07: 707
Row 07: 054 329 776 100 871 007 255 980 646 886 823 920 461
Row 08: 893 829 380 900 796 959 453 410 181 277 660 908 887
Rows 08-09: 237
OV
Row 09: 818 721 426 714 050 785 223 801 670 353 362 449
Rows 09-10: 406
Note: All sequences above 902 and duplicates are discarded.
1.19 (a) Row 29: 12 47 83 76 22 99 65 93 10 65 83 61 36 98 89 58 86 92 71
Note: All sequences above 93 and all repeating sequences are discarded.
(b) Row 29: 12 47 83 76 22 99 65 93 10 65 83 61 36 98 89 58 86
ED
Note: All sequences above 93 are discarded. Elements 65 and 83 are repeated.
1.20 A simple random sample would be less practical for personal interviews because of travel costs
(unless interviewees are paid to attend a central interviewing location).
?
1.21 This is a probability sample because the selection is based on chance. It is not a simple random
sample because A is more likely to be selected than B or C.
Copyright ©2020 Pearson Education, Inc.
Business Statistics: A First
ST
Course, 8th Edition
UV
SOLUTIONS
IA
MANUAL
?_
AP
David M. Levine, Kathryn A. Szabat, David F. Stephan
PR
Comprehensive Solutions Manual for Instructors
and Students
OV
||| ||| || ||| || | || ||| | || ||| |
9780135177785
© David M. Levine, Kathryn A. Szabat & David F. Stephan. All
ED
rights reserved. Reproduction or distribution without permission is
prohibited.
?
© MEDGEEK
, TABLE OF CONTENTS
Solutions Manual – Business Statistics: A First Course (8th Edition)
Authors: David M. Levine, Kathryn A. Szabat, and David F. Stephan
ST
ISBN: 9780135177785
PART I: DEFINING AND DESCRIBING DATA
Chapter 1: Defining and Collecting Data
UV
Chapter 2: Organizing and Visualizing Variables
Chapter 3: Numerical Descriptive Measures
PART II: PROBABILITY AND THE NORMAL DISTRIBUTION
Chapter 4: Basic Probability
IA
Chapter 5: Discrete Probability Distributions
Chapter 6: The Normal Distribution
PART III: STATISTICAL INFERENCE
?_
Chapter 7: Sampling Distributions
Chapter 8: Confidence Interval Estimation
Chapter 9: Fundamentals of Hypothesis Testing (One-Sample Tests)
AP
Chapter 10: Two-Sample Tests and One-Way ANOVA
Chapter 11: Chi-Square Tests
PART IV: REGRESSION ANALYSIS
PR
Chapter 12: Simple Linear Regression
Chapter 13: Multiple Regression
PART V: ANALYTICS AND QUALITY MANAGEMENT
Chapter 14: Business Analytics
OV
Chapter 15: Statistical Applications in Quality Management (Online)
ED
?
, CHAPTER 1
1.1 The type of beverage sold yields categorical or “qualitative” responses.
ST
1.2 Business size represents a categorical variable because each size represents a particular category.
1.3 The time it takes to download a video from the Internet is a continuous numerical or
“quantitative” variable because time can have any value from 0 to any reasonable unit of time
UV
1.4 (a) The number of cellphones is a numerical variable that is discrete because the outcome is
a count.
(b) Monthly data usage is a numerical variable that is continuous because any value within a
range of values can occur.
(c) Number of text messages exchanged per month is a numerical variable that is discrete
because the outcome is a count.
IA
(d) Voice usage per month is a numerical variable that is continuous because any value
within a range of values can occur.
(e) Whether a cellphone is used for streaming video is a categorical variable because the
answer can be only yes or no.
?_
1.5 (a) numerical, continuous
(b) numerical, discrete
(c) categorical
(d) categorical
AP
1.6 (a) Categorical
(b) Numerical, continuous
(c) Categorical
(d) Numerical, discrete
(e) Categorical
PR
1.7 (a) numerical, continuous *
(b) categorical
(c) categorical
(d) numerical, discrete
*Some researchers consider money as a discrete numerical variable because it can be “counted.”
OV
1.8 (a) numerical, continuous *
(b) numerical, discrete
(c) numerical, continuous *
(d) categorical
*Some researchers consider money as a discrete numerical variable because it can be “counted.”
ED
1.9 (a) Income may be considered discrete if we “count” our money. It may be considered
continuous if we “measure” our money; we are only limited by the way a country's
monetary system treats its currency.
(b) The first format would provide more information because it includes a ratio scale value
while the second measure would only include a range of values for each choice category.
?
Copyright ©2020 Pearson Education, Inc.
29
, 30 Chapter 1: Defining and Collecting Data
1.10 The underlying variable, ability of the students, may be continuous, but the measuring device, the
test, does not have enough precision to distinguish between the two students.
1.11 (a) The population is “all working women from the metropolitan area.” A systematic or
random sample could be taken of women from the metropolitan area. The director might
ST
wish to collect both numerical and categorical data.
(b) Three categorical questions might be occupation, marital status, type of clothing.
Numerical questions might be age, average monthly hours shopping for clothing, income.
1.12 (a) Data distributed by an organization or individual.
UV
(b) The American Community Survey is based on a sample.
1.13 The answer depends on the specific story.
1.14 The answer depends on the specific story.
IA
1.15 The transportation engineers and planners should use primary data collected through an
observational study of the driving characteristics of drivers over the course of a month.
1.16 The information presented there is based mainly on a mixture of data distributed by an organization
?_
and data collected by ongoing business activities.
1.17 (a) 001
(b) 040
(c) 902
AP
1.18 Sample without replacement: Read from left to right in 3-digit sequences and continue unfinished
sequences from end of row to beginning of next row.
Row 05: 338 505 855 551 438 855 077 186 579 488 767 833 170
Rows 05-06: 897
PR
Row 06: 340 033 648 847 204 334 639 193 639 411 095 924
Rows 06-07: 707
Row 07: 054 329 776 100 871 007 255 980 646 886 823 920 461
Row 08: 893 829 380 900 796 959 453 410 181 277 660 908 887
Rows 08-09: 237
OV
Row 09: 818 721 426 714 050 785 223 801 670 353 362 449
Rows 09-10: 406
Note: All sequences above 902 and duplicates are discarded.
1.19 (a) Row 29: 12 47 83 76 22 99 65 93 10 65 83 61 36 98 89 58 86 92 71
Note: All sequences above 93 and all repeating sequences are discarded.
(b) Row 29: 12 47 83 76 22 99 65 93 10 65 83 61 36 98 89 58 86
ED
Note: All sequences above 93 are discarded. Elements 65 and 83 are repeated.
1.20 A simple random sample would be less practical for personal interviews because of travel costs
(unless interviewees are paid to attend a central interviewing location).
?
1.21 This is a probability sample because the selection is based on chance. It is not a simple random
sample because A is more likely to be selected than B or C.
Copyright ©2020 Pearson Education, Inc.
