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SOLUTIONS MANUAL — Basic Business Statistics: Concepts and Applications, 14th Edition — Mark L. Berenson, David M. Levine, Kathryn A. Szabat, David F. Stephan — ISBN 9780134684840

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The Solutions Manual for Basic Business Statistics: Concepts and Applications, 14th Edition by Mark L. Berenson, David M. Levine, Kathryn A. Szabat, and David F. Stephan is intended to provide full worked-out solutions for the end-of-chapter problems in the text. It includes step-by-step explanations for numerical and conceptual questions covering topics such as data collection, organization and visualization of data, measures of central tendency, probability and probability distributions, hypothesis testing, regression, time series forecasting, business analytics, quality management, and decision making. The manual is structured to align with the textbook’s chapters, including Defining and Collecting Data, Organizing and Visualizing Variables, Numerical Descriptive Measures, Basic Probability, Discrete Probability Distributions, The Normal Distribution and Other Continuous Distributions, Sampling Distributions, Confidence Interval Estimation, Fundamentals of Hypothesis Testing: One-Sample Tests, Two-Sample Tests, Analysis of Variance, Chi-Square and Non-parametric Tests, Simple Linear Regression, Introduction to Multiple Regression, Multiple Regression Model Building, Time-Series Forecasting, Business Analytics, Getting Ready to Analyze Data in the Future, Statistical Applications in Quality Management, and Decision Making.

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Basic Business Statistics: Concepts and
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Applications – 14th Edition

SOLUTIONS
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MANUAL
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Mark L. Berenson, David M. Levine, Kathryn A. Szabat,
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David F. Stephan
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Complete Solutions Manual for Instructors and
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Students
© Mark L. Berenson, David M. Levine, Kathryn A. Szabat & David F. Stephan

All rights reserved. Reproduction or distribution without permission is prohibited.
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, Table of Contents
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Teaching Tips...................................................................................................................................1

Chapter 1 Defining and Collecting Data............................................................................................... 39

Chapter 2 Organizing and Visualizing Variables ................................................................................. 47
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Chapter 3 Numerical Descriptive Measures ....................................................................................... 151
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Chapter 4 Basic Probability ................................................................................................................ 195

Chapter 5 Discrete Probability Distributions ...................................................................................... 205

Chapter 6 The Normal Distribution and Other Continuous Distributions .......................................... 237
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Chapter 7 Sampling Distributions....................................................................................................... 269

Chapter 8 Confidence Interval Estimation.......................................................................................... 293
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Chapter 9 Fundamentals of Hypothesis Testing: One-Sample Tests.................................................. 331

Chapter 10 Two-Sample Tests............................................................................................................. 373

Chapter 11 Analysis of Variance .......................................................................................................... 433
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Chapter 12 Chi-Square and Nonparametric Tests ................................................................................ 461

Chapter 13 Simple Linear Regression .................................................................................................. 489

Chapter 14 Introduction to Multiple Regression .................................................................................. 539
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Chapter 15 Multiple Regression Model Building ................................................................................. 591

Chapter 16 Time-Series Forecasting..................................................................................................... 651

Chapter 17 Business Analytics ............................................................................................................. 721
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Chapter 18 A Roadmap for Analyzing Data ......................................................................................... 757

Chapter 19 Statistical Applications in Quality Management (Online) ................................................. 819

Chapter 20 Decision Making (Online).................................................................................................. 849
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Online Sections ......................................................................................................................................... 889

Instructional Tips and Solutions for Digital Cases ................................................................................... 955
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The Brynne Packaging Case ..................................................................................................................... 991


Copyright ©2019 Pearson Education, Inc.

, The CardioGood Fitness Case .................................................................................................................. 993

The Choice Is Yours/More Descriptive Choices Follow-up Case .......................................................... 1105
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The Clear Mountain State Student Surveys Case.................................................................................... 1201

The Craybill Instrumentation Company Case ........................................................................................ 1373
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The Managing Ashland MultiComm Services Case ................................................................................ 1375

The Mountain States Potato Company Case........................................................................................... 1423
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The Sure Value Convenience Stores Case .............................................................................................. 1431
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Copyright ©2019 Pearson Education, Inc.

, Teaching Tips 5


Chapter 1
You need to continue the discussion of the Define task by establishing the types of variables. Mention the
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importance of having an operational definition for each variable. Be sure to discuss the different types
carefully because the ability to distinguish between categorical and numerical data will be crucial later in
the course. Go over examples of each type of variable and have students provide examples of each type.
Then, if you wish, you can cover the different measurement scales.
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Then move on to the C of the DCOVA approach, collecting data. Mention the different sources of
data and make sure to cover the fact that data often needs to be cleaned of errors. Then, you could spend
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some time discussing sampling, even if it is just using the table of random numbers to select a random
sample. You may want to take a bit more time and discuss the types of survey sampling methods and
issues involved with survey sampling results. The Think About This essay discusses the important issue of
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the use of Web-based surveys.
There is also a section on Data Cleaning that discusses the issues that occur in data collection.
This is followed by a section on data formatting that includes the important concepts of stacking and
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unstacking variables and recoding variables. The last section discusses the types of errors that occur in
surveys.
The chapter also introduces three continuing cases related to the Managing Ashland MultiComm
Services, CardioGood Fitness, and Clear Mountain State Student Surveys that appear at the end of many
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chapters. The Digital Cases are introduced in this chapter also. In these cases, students visit Web sites
related to companies and issues raised in the Using Statistics scenarios that start each chapter. The goal of
the Digital Cases is for students to develop skills needed to identify misuses of statistical information. As
would be the situation with many real-world cases, in Digital Cases, students often need to sift through
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claims and assorted information in order to discover the data most relevant to a case task. They will then
have to examine whether the conclusions and claims are supported by the data. (Instructional tips for
using the Managing Ashland MultiComm Services, and Digital Cases and solutions to the Managing
Ashland MultiComm Service, CardioGood Fitness, Clear Mountain State Student Surveys, and Digital
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Cases are included in this Instructor’s Solutions Manual.).
Make sure that students read the Excel Guide and/or JMP Guide or Minitab Guide at the end of
each chapter. The Workbook Excel instructions provide step-by-step instructions and live worksheets that
automatically update when data changes. The PHStat Excel instructions provide instructions for using the
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PHStat add-in with Excel. The Analysis ToolPak instructions provide instructions for using the Analysis
ToolPak, the Excel statistical add-in that is included with Microsoft Excel.
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Copyright ©2019 Pearson Education, Inc.

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