MG
Basic Business Statistics: Concepts and
Applications – 14th Edition
EE
SOLUTIONS
K?
_AP
MANUAL
PR
O VE
Mark L. Berenson
David M. Levine
D?
Kathryn A. Szabat
?
David F. Stephan
Comprehensive Solutions Manual for Instructors
and Students
© Mark L. Berenson, David M. Levine, Kathryn A. Szabat & David F. Stephan
All rights reserved. Reproduction or distribution without permission is prohibited.
©MedGeek Libraries
,MG Table of Contents
Teaching Tips...................................................................................................................................1
EE
Chapter 1 Defining and Collecting Data............................................................................................... 39
Chapter 2 Organizing and Visualizing Variables ................................................................................. 47
Chapter 3
K?
Numerical Descriptive Measures ....................................................................................... 151
Chapter 4 Basic Probability ................................................................................................................ 195
Chapter 5
_AP
Discrete Probability Distributions ...................................................................................... 205
Chapter 6 The Normal Distribution and Other Continuous Distributions .......................................... 237
Chapter 7 Sampling Distributions....................................................................................................... 269
Chapter 8
PR
Confidence Interval Estimation.......................................................................................... 293
Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests.................................................. 331
Chapter 10
OV
Two-Sample Tests............................................................................................................. 373
Chapter 11 Analysis of Variance .......................................................................................................... 433
Chapter 12
ED
Chi-Square and Nonparametric Tests ................................................................................ 461
Chapter 13 Simple Linear Regression .................................................................................................. 489
??
Chapter 14 Introduction to Multiple Regression .................................................................................. 539
Chapter 15 Multiple Regression Model Building ................................................................................. 591
Chapter 16 Time-Series Forecasting..................................................................................................... 651
Chapter 17 Business Analytics ............................................................................................................. 721
Chapter 18 A Roadmap for Analyzing Data ......................................................................................... 757
Chapter 19 Statistical Applications in Quality Management (Online) ................................................. 819
Chapter 20 Decision Making (Online).................................................................................................. 849
Online Sections ......................................................................................................................................... 889
Instructional Tips and Solutions for Digital Cases ................................................................................... 955
The Brynne Packaging Case ..................................................................................................................... 991
Copyright ©2019 Pearson Education, Inc.
,MG
The CardioGood Fitness Case .................................................................................................................. 993
The Choice Is Yours/More Descriptive Choices Follow-up Case .......................................................... 1105
EE
The Clear Mountain State Student Surveys Case.................................................................................... 1201
The Craybill Instrumentation Company Case ........................................................................................ 1373
K?
The Managing Ashland MultiComm Services Case ................................................................................ 1375
The Mountain States Potato Company Case........................................................................................... 1423
_AP
The Sure Value Convenience Stores Case .............................................................................................. 1431
PR
OV
ED
??
Copyright ©2019 Pearson Education, Inc.
, MG Teaching Tips
Our Starting Point
EE
Of late, business statistics has been expanding and combining with other disciplines to form new fields of
study such as business analytics. Because of these changes, business statistics has become an increasingly
K?
important part of business education. One must consistently reflect on which business statistics topics
should get taught and how those topics should be taught.
As authors, we seek ways to continuously improve the teaching of business statistics have always
_AP
guided our efforts. We are members of the Decision Sciences Institute (DSI) and American Statistical
Association (ASA) and attend their annual conferences. We are members of the DSI Data, Analytics and
Statistics Instruction (DASI) Special Interest Group and are frequent presenters at DASI sessions held at
annual and regional DSI meetings. We use the ASA’s Guidelines for Assessment and Instruction
PR
(GAISE) reports and combine them with our experiences teaching business statistics to a diverse student
body at several large universities.
What to teach and how to teach it are particularly significant questions to ask during a time of
OV
change. As an author team, we bring a unique collection of experiences that we believe helps us find the
proper perspective in balancing the old and the new. Mark Berenson and David Levine were the first
educators to create a business statistics textbook that discussed using statistical software and that used
ED
computer output as illustrations. They introduced many additional teaching and curricular innovations in
their careers, and with David Stephan developed the first comprehensive introductory business statistics
textbook that featured Microsoft Excel.
??
Kathryn Szabat has provided statistical advice to various business and non-business communities.
Her extensive background in statistics and operations research and her experiences interacting with
professionals in practice guided her to develop and chair a new, interdisciplinary Business Systems and
Analytics department, in response to the technology- and data-driven changes occurring in business
today. David Stephan, an information system specialist, devised new courses and teaching methods for
computer information systems, creating and teaching in one of the first personal computer classrooms in a
large school of business. He became involved in early digital media efforts to improve education and
lectured about the importance of data in a digital media, which led him to join Berenson’s and Levine’s
efforts to improve statistics education and simplify interactions with statistical programs. Our work also
benefits from teaching and research interests and the diversity of interests and generous contributions of
our past co-author, Timothy Krehbiel.
Copyright ©2019 Pearson Education, Inc.
1
Basic Business Statistics: Concepts and
Applications – 14th Edition
EE
SOLUTIONS
K?
_AP
MANUAL
PR
O VE
Mark L. Berenson
David M. Levine
D?
Kathryn A. Szabat
?
David F. Stephan
Comprehensive Solutions Manual for Instructors
and Students
© Mark L. Berenson, David M. Levine, Kathryn A. Szabat & David F. Stephan
All rights reserved. Reproduction or distribution without permission is prohibited.
©MedGeek Libraries
,MG Table of Contents
Teaching Tips...................................................................................................................................1
EE
Chapter 1 Defining and Collecting Data............................................................................................... 39
Chapter 2 Organizing and Visualizing Variables ................................................................................. 47
Chapter 3
K?
Numerical Descriptive Measures ....................................................................................... 151
Chapter 4 Basic Probability ................................................................................................................ 195
Chapter 5
_AP
Discrete Probability Distributions ...................................................................................... 205
Chapter 6 The Normal Distribution and Other Continuous Distributions .......................................... 237
Chapter 7 Sampling Distributions....................................................................................................... 269
Chapter 8
PR
Confidence Interval Estimation.......................................................................................... 293
Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests.................................................. 331
Chapter 10
OV
Two-Sample Tests............................................................................................................. 373
Chapter 11 Analysis of Variance .......................................................................................................... 433
Chapter 12
ED
Chi-Square and Nonparametric Tests ................................................................................ 461
Chapter 13 Simple Linear Regression .................................................................................................. 489
??
Chapter 14 Introduction to Multiple Regression .................................................................................. 539
Chapter 15 Multiple Regression Model Building ................................................................................. 591
Chapter 16 Time-Series Forecasting..................................................................................................... 651
Chapter 17 Business Analytics ............................................................................................................. 721
Chapter 18 A Roadmap for Analyzing Data ......................................................................................... 757
Chapter 19 Statistical Applications in Quality Management (Online) ................................................. 819
Chapter 20 Decision Making (Online).................................................................................................. 849
Online Sections ......................................................................................................................................... 889
Instructional Tips and Solutions for Digital Cases ................................................................................... 955
The Brynne Packaging Case ..................................................................................................................... 991
Copyright ©2019 Pearson Education, Inc.
,MG
The CardioGood Fitness Case .................................................................................................................. 993
The Choice Is Yours/More Descriptive Choices Follow-up Case .......................................................... 1105
EE
The Clear Mountain State Student Surveys Case.................................................................................... 1201
The Craybill Instrumentation Company Case ........................................................................................ 1373
K?
The Managing Ashland MultiComm Services Case ................................................................................ 1375
The Mountain States Potato Company Case........................................................................................... 1423
_AP
The Sure Value Convenience Stores Case .............................................................................................. 1431
PR
OV
ED
??
Copyright ©2019 Pearson Education, Inc.
, MG Teaching Tips
Our Starting Point
EE
Of late, business statistics has been expanding and combining with other disciplines to form new fields of
study such as business analytics. Because of these changes, business statistics has become an increasingly
K?
important part of business education. One must consistently reflect on which business statistics topics
should get taught and how those topics should be taught.
As authors, we seek ways to continuously improve the teaching of business statistics have always
_AP
guided our efforts. We are members of the Decision Sciences Institute (DSI) and American Statistical
Association (ASA) and attend their annual conferences. We are members of the DSI Data, Analytics and
Statistics Instruction (DASI) Special Interest Group and are frequent presenters at DASI sessions held at
annual and regional DSI meetings. We use the ASA’s Guidelines for Assessment and Instruction
PR
(GAISE) reports and combine them with our experiences teaching business statistics to a diverse student
body at several large universities.
What to teach and how to teach it are particularly significant questions to ask during a time of
OV
change. As an author team, we bring a unique collection of experiences that we believe helps us find the
proper perspective in balancing the old and the new. Mark Berenson and David Levine were the first
educators to create a business statistics textbook that discussed using statistical software and that used
ED
computer output as illustrations. They introduced many additional teaching and curricular innovations in
their careers, and with David Stephan developed the first comprehensive introductory business statistics
textbook that featured Microsoft Excel.
??
Kathryn Szabat has provided statistical advice to various business and non-business communities.
Her extensive background in statistics and operations research and her experiences interacting with
professionals in practice guided her to develop and chair a new, interdisciplinary Business Systems and
Analytics department, in response to the technology- and data-driven changes occurring in business
today. David Stephan, an information system specialist, devised new courses and teaching methods for
computer information systems, creating and teaching in one of the first personal computer classrooms in a
large school of business. He became involved in early digital media efforts to improve education and
lectured about the importance of data in a digital media, which led him to join Berenson’s and Levine’s
efforts to improve statistics education and simplify interactions with statistical programs. Our work also
benefits from teaching and research interests and the diversity of interests and generous contributions of
our past co-author, Timothy Krehbiel.
Copyright ©2019 Pearson Education, Inc.
1
