,SOLUTION MANUAL FOR Business Statistics, 4th
edition Donnelly
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel sheet
if it exists.
4- We have all what you need, we make update
at every time. There are many new editions
waiting you.
5- If you think you purchased the wrong file You
can contact us at every time, we can replace it
with true one.
Our email:
,STUDENT’S SOLUTIONS
MANUAL
BUSINESS STATISTICS
F OURTH E DITION
Robert A. Donnelly
Serina Haddad
,This work is protected by United States copyright laws and is provided solely for
the use of instructors in teaching their courses and assessing student learning.
Dissemination or sale of any part of this work (including on the World Wide Web)
will destroy the integrity of the work and is not permitted. The work and materials
from it should never be made available to students except by instructors using
the accompanying text in their classes. All recipients of this work are expected to
abide by these restrictions and to honor the intended pedagogical purposes and
the needs of other instructors who rely on these materials.
Product Manager: Karen Montgomery
Content Producer: Anoop Chaturvedi
Copyright © 2026, 2020, 2015 by Pearson Education, Inc. or its affiliates. All Rights Reserved.
Manufactured in the United States of America. This publication is protected by copyright, and
permission should be obtained from the publisher prior to any prohibited reproduction, storage
in a retrieval system, or transmission in any form or by any means, electronic, mechanical,
photocopying, recording, or otherwise. For information regarding permissions, request forms,
and the appropriate contacts within the Pearson Education Global Rights and Permissions
department, please visit www.pearsoned.com/permissions/.
PEARSON and MYLAB are exclusive trademarks owned by Pearson Education, Inc. or its
affiliates in the U.S. and/or other countries.
Unless otherwise indicated herein, any third-party trademarks, logos, or icons that may appear in
this work are the property of their respective owners, and any references to third-party
trademarks, logos, icons, or other trade dress are for demonstrative or descriptive purposes only.
Such references are not intended to imply any sponsorship, endorsement, authorization, or
promotion of Pearson’s products by the owners of such marks, or any relationship between the
owner and Pearson Education, Inc., or its affiliates, authors, licensees, or distributors.
PPID: A103000373013
, Table of Contents
Chapter 1: An Introduction to Business Statistics………………………………………………1-1
Chapter 2: Displaying Descriptive Statistics……………………………………………………2-1
Chapter 3: Calculating Descriptive Statistics………………………………………...…………3-1
Chapter 4: Introduction to Probabilities…………………………………………...……………4-1
Chapter 5: Discrete Probability Distributions…………………………………………..………5-1
Chapter 6: Continuous Probability Distributions……………………………………………….6-1
Chapter 7: Sampling and Sampling Distributions………………………………………………7-1
Chapter 8: Confidence Intervals………………………………………………………………...8-1
Chapter 9: Hypothesis Testing for a Single Population………………………………………...9-1
Chapter 10: Hypothesis Tests Comparing Two Populations…………………………………..10-1
Chapter 11: Analysis of Variance (ANOVA) Procedures……………………………………..11-1
Chapter 12: Chi-Square Tests………………………………………………………………….12-1
Chapter 13: Hypothesis Tests for the Population Variance……………………………………13-1
Chapter 14: Correlation and Simple Linear Regression……………………………………….14-1
Chapter 15: Multiple Regression and Model Building………………………………………...15-1
Chapter 16: Forecasting………………………………………………………………………..16-1
Chapter 17: Decision Analysis………………………………………………………………...17-1
Chapter 18: Nonparametric Statistics………………………………………………………….18-1
, CHAPTER 1
An Introduction to Business Statistics
1.2 Quantitative/Ratio. The differences between average monthly rainfalls are meaningful, and
there is a true zero point, because there may be a month without any rainfalls.
1.4 Qualitative/Nominal. The marital status is just a label without a meaningful difference, or
ranking.
1.6 Qualitative/Nominal. The genders are merely labels with no ranking or meaningful
difference.
1.8 Qualitative/Nominal. The political affiliations are merely labels with no ranking or
meaningful difference.
1.10 Qualitative/Ordinal. You can rank the performance rating, but the differences between
different performance ratings cannot be measured.
1.12 Qualitative/Ordinal. The differences in the data values between class ranks are not
meaningful.
1.14 Qualitative/Nominal. The state in which the respondents in a survey reside is a label and it
is meaningless to talk about the rating of this value.
1.16 Qualitative/Ordinal. You can rank movie ratings, but the differences between
different ratings cannot be measured.
1.18 Quantitative/Ordinal. The differences between the numbers are not necessarily uniform.
1.20 Time series, as the values are taken over a range of time periods.
1.22 Cross-sectional data: Employed and unemployed civilian labor workforce for any one
particular year.
1.24 Time series: the number of 8x10 prints sold over the four years.
Time series: the number of 11x14 prints sold over the four years.
Time series: the number of 13x19 prints sold over the four years.
1-1
Copyright ©2026 Pearson Education, Inc.
,1-2 Chapter 1
1.26 Inferential statistics, because the statements about comparing the average costs of a hotel
room in two states was based on results from samples taken from two populations.
1.28 Descriptive statistics, because we summarize reviewer scores without going into inference.
1.30 Descriptive statistics, because this percentage represents the proportion of a specific group
of customers arriving before 6 PM and is not making an inference about the entire
population of customers.
Copyright ©2026 Pearson Education, Inc.
, CHAPTER 2
Displaying Descriptive Statistics
2.2 26 = 64 > 50 therefore use 6 classes.
74 − 16
Estimated Class Width = = 9.7 ≈ 10
6
a) 16-25, 26-35, 36-45, 46-55, 56-65, 66-75
b) 16 to under 26, 26 to under 36, 36 to under 46,
46 to under 56, 56 to under 66, 66 to under 76
2.4 25 = 32 > 30 therefore use 5 classes.
42.8 − 13.9
Estimated Class Width = = 5.8 ≈ 6
5
Cumulative
Frequency Relative Relative
Class Frequency Frequency
13 to less than 19 6 0.200 0.200
19 to less than 25 11 0.367 0.567
25 to less than 31 4 0.133 0.700
31 to less than 37 7 0.233 0.933
37 to less than 43 2 0.067 1.0
Total 30 1.00
2.6 25 = 32 > 25 therefore use 5 classes.
46 − 18
Estimated Class Width = = 5.6 ≈ 6
5
a, b, c)
Cumulative
Frequency Relative Relative
Class Frequency Frequency
18-23 2 0.08 0.08
24-29 6 0.24 0.32
30-35 5 0.20 0.52
36-41 5 0.20 0.72
42-47 7 0.28 1.00
Total 25 1.00
2-1
Copyright ©2026 Pearson Education, Inc.
,2-2 Chapter 2
d) The following histogram was constructed using bins 23, 29, 35, 41, and 47.
2.8 26 = 64 > 40 therefore use 6 classes.
76 − 19
Estimated Class Width (Current) = = 9.5 ≈ 10
6
Results would be similar using the laid-off ages.
Class Bins Midpoint
19 to less than 29 28.9 24
29 to less than 39 38.9 34
39 to less than 49 48.9 44
49 to less than 59 58.9 54
59 to less than 69 68.9 64
69 to less than 79 78.9 74
An extra bin (18.9) was added to Excel to provide the open-ended class required by PHStat.
Copyright ©2026 Pearson Education, Inc.
, Displaying Descriptive Statistics 2-3
a)
b)
c) According to these polygons, it appears that the current workforce is younger than the laid-off
employees. It appears that the laid-off employees may have a case for age discrimination.
Copyright ©2026 Pearson Education, Inc.
edition Donnelly
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel sheet
if it exists.
4- We have all what you need, we make update
at every time. There are many new editions
waiting you.
5- If you think you purchased the wrong file You
can contact us at every time, we can replace it
with true one.
Our email:
,STUDENT’S SOLUTIONS
MANUAL
BUSINESS STATISTICS
F OURTH E DITION
Robert A. Donnelly
Serina Haddad
,This work is protected by United States copyright laws and is provided solely for
the use of instructors in teaching their courses and assessing student learning.
Dissemination or sale of any part of this work (including on the World Wide Web)
will destroy the integrity of the work and is not permitted. The work and materials
from it should never be made available to students except by instructors using
the accompanying text in their classes. All recipients of this work are expected to
abide by these restrictions and to honor the intended pedagogical purposes and
the needs of other instructors who rely on these materials.
Product Manager: Karen Montgomery
Content Producer: Anoop Chaturvedi
Copyright © 2026, 2020, 2015 by Pearson Education, Inc. or its affiliates. All Rights Reserved.
Manufactured in the United States of America. This publication is protected by copyright, and
permission should be obtained from the publisher prior to any prohibited reproduction, storage
in a retrieval system, or transmission in any form or by any means, electronic, mechanical,
photocopying, recording, or otherwise. For information regarding permissions, request forms,
and the appropriate contacts within the Pearson Education Global Rights and Permissions
department, please visit www.pearsoned.com/permissions/.
PEARSON and MYLAB are exclusive trademarks owned by Pearson Education, Inc. or its
affiliates in the U.S. and/or other countries.
Unless otherwise indicated herein, any third-party trademarks, logos, or icons that may appear in
this work are the property of their respective owners, and any references to third-party
trademarks, logos, icons, or other trade dress are for demonstrative or descriptive purposes only.
Such references are not intended to imply any sponsorship, endorsement, authorization, or
promotion of Pearson’s products by the owners of such marks, or any relationship between the
owner and Pearson Education, Inc., or its affiliates, authors, licensees, or distributors.
PPID: A103000373013
, Table of Contents
Chapter 1: An Introduction to Business Statistics………………………………………………1-1
Chapter 2: Displaying Descriptive Statistics……………………………………………………2-1
Chapter 3: Calculating Descriptive Statistics………………………………………...…………3-1
Chapter 4: Introduction to Probabilities…………………………………………...……………4-1
Chapter 5: Discrete Probability Distributions…………………………………………..………5-1
Chapter 6: Continuous Probability Distributions……………………………………………….6-1
Chapter 7: Sampling and Sampling Distributions………………………………………………7-1
Chapter 8: Confidence Intervals………………………………………………………………...8-1
Chapter 9: Hypothesis Testing for a Single Population………………………………………...9-1
Chapter 10: Hypothesis Tests Comparing Two Populations…………………………………..10-1
Chapter 11: Analysis of Variance (ANOVA) Procedures……………………………………..11-1
Chapter 12: Chi-Square Tests………………………………………………………………….12-1
Chapter 13: Hypothesis Tests for the Population Variance……………………………………13-1
Chapter 14: Correlation and Simple Linear Regression……………………………………….14-1
Chapter 15: Multiple Regression and Model Building………………………………………...15-1
Chapter 16: Forecasting………………………………………………………………………..16-1
Chapter 17: Decision Analysis………………………………………………………………...17-1
Chapter 18: Nonparametric Statistics………………………………………………………….18-1
, CHAPTER 1
An Introduction to Business Statistics
1.2 Quantitative/Ratio. The differences between average monthly rainfalls are meaningful, and
there is a true zero point, because there may be a month without any rainfalls.
1.4 Qualitative/Nominal. The marital status is just a label without a meaningful difference, or
ranking.
1.6 Qualitative/Nominal. The genders are merely labels with no ranking or meaningful
difference.
1.8 Qualitative/Nominal. The political affiliations are merely labels with no ranking or
meaningful difference.
1.10 Qualitative/Ordinal. You can rank the performance rating, but the differences between
different performance ratings cannot be measured.
1.12 Qualitative/Ordinal. The differences in the data values between class ranks are not
meaningful.
1.14 Qualitative/Nominal. The state in which the respondents in a survey reside is a label and it
is meaningless to talk about the rating of this value.
1.16 Qualitative/Ordinal. You can rank movie ratings, but the differences between
different ratings cannot be measured.
1.18 Quantitative/Ordinal. The differences between the numbers are not necessarily uniform.
1.20 Time series, as the values are taken over a range of time periods.
1.22 Cross-sectional data: Employed and unemployed civilian labor workforce for any one
particular year.
1.24 Time series: the number of 8x10 prints sold over the four years.
Time series: the number of 11x14 prints sold over the four years.
Time series: the number of 13x19 prints sold over the four years.
1-1
Copyright ©2026 Pearson Education, Inc.
,1-2 Chapter 1
1.26 Inferential statistics, because the statements about comparing the average costs of a hotel
room in two states was based on results from samples taken from two populations.
1.28 Descriptive statistics, because we summarize reviewer scores without going into inference.
1.30 Descriptive statistics, because this percentage represents the proportion of a specific group
of customers arriving before 6 PM and is not making an inference about the entire
population of customers.
Copyright ©2026 Pearson Education, Inc.
, CHAPTER 2
Displaying Descriptive Statistics
2.2 26 = 64 > 50 therefore use 6 classes.
74 − 16
Estimated Class Width = = 9.7 ≈ 10
6
a) 16-25, 26-35, 36-45, 46-55, 56-65, 66-75
b) 16 to under 26, 26 to under 36, 36 to under 46,
46 to under 56, 56 to under 66, 66 to under 76
2.4 25 = 32 > 30 therefore use 5 classes.
42.8 − 13.9
Estimated Class Width = = 5.8 ≈ 6
5
Cumulative
Frequency Relative Relative
Class Frequency Frequency
13 to less than 19 6 0.200 0.200
19 to less than 25 11 0.367 0.567
25 to less than 31 4 0.133 0.700
31 to less than 37 7 0.233 0.933
37 to less than 43 2 0.067 1.0
Total 30 1.00
2.6 25 = 32 > 25 therefore use 5 classes.
46 − 18
Estimated Class Width = = 5.6 ≈ 6
5
a, b, c)
Cumulative
Frequency Relative Relative
Class Frequency Frequency
18-23 2 0.08 0.08
24-29 6 0.24 0.32
30-35 5 0.20 0.52
36-41 5 0.20 0.72
42-47 7 0.28 1.00
Total 25 1.00
2-1
Copyright ©2026 Pearson Education, Inc.
,2-2 Chapter 2
d) The following histogram was constructed using bins 23, 29, 35, 41, and 47.
2.8 26 = 64 > 40 therefore use 6 classes.
76 − 19
Estimated Class Width (Current) = = 9.5 ≈ 10
6
Results would be similar using the laid-off ages.
Class Bins Midpoint
19 to less than 29 28.9 24
29 to less than 39 38.9 34
39 to less than 49 48.9 44
49 to less than 59 58.9 54
59 to less than 69 68.9 64
69 to less than 79 78.9 74
An extra bin (18.9) was added to Excel to provide the open-ended class required by PHStat.
Copyright ©2026 Pearson Education, Inc.
, Displaying Descriptive Statistics 2-3
a)
b)
c) According to these polygons, it appears that the current workforce is younger than the laid-off
employees. It appears that the laid-off employees may have a case for age discrimination.
Copyright ©2026 Pearson Education, Inc.
