Statistics for Managers Using Microsoft Excel, Global Edition plus MyStatLab with Pearson eText, Global Edition

Series
Pearson
Author
David M. Levine / David F. Stephan / Kathryn A. Szabat  
Publisher
Pearson
Cover
Softcover
Edition
8
Language
English
Pub.-date
February 2017
ISBN13
9781292156453
ISBN
1292156457
Related Titles


Product detail

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9781292156453
Statistics for Managers Using Microsoft Excel, Global Edition plus MyStatLab with Pearson eText, Global Edition
79.20 approx. 7-9 days

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Description

For undergraduate business statistics courses.

This package includes MyStatLab.

Analyzing the Data Applicable to Business

This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style includes tips throughout to encourage learning.

 

The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel.

 

This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

 

MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

 

Features

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.

 

About the Book

  • Analyzing data with a focus on software results: the authors believe that using computer software is a vital part of learning statistics. This text emphasizes data analysis through interpretation of the results from Microsoft Excel®, reducing the focus on doing the computations by hand. Excel content includes:
    • End-of-chapter Excel Guides 
    • In-depth Excel step-by-step instructions
    • Excel Guide workbooks
    • PHStat, a statistics add-in system for Excel
    • Five appendices:
      • Appendix B introduces the fundamentals of using Excel and Minitab®.
      • Appendix C elaborates on accessing available online resources, including PHStat.
      • Appendix D and F discusses useful Excel operations.
      • Appendix G presents the answers to some frequently-asked questions about Excel and PHStat.
  • Improved compatibility with all Mac Excel versions and OpenOffice.org Calc 3, the open-source, Excel work-alike application (in-depth Excel instructions only).
  • An Integrated Five-step Approach make it easier for students to follow the progression of applying statistics: Define, Collect, Organize, Visualize, Analyze.
  • First Things First sets the context for explaining what statistics is (not what students may think), while ensuring that students understand why learning business statistics is important today. This chapter is especially helpful for instructors using course management tools, including hybrid or online courses; this chapter is designed for distribution before the first class begins.

NEW! First Things First has been redesigned as a "pre-chapter" and contains a new Using Statistics scenario.

  • Using Statistics business scenarios begin each chapter, showing how statistics is used in accounting, finance, information systems, management, or marketing. Scenarios are then used throughout the chapter to provide an applied context for the concepts, to bring students from knowing to applying.

Digital Cases ask students to examine interactive PDF documents and sift through claims and information in order to discover the data most relevant to a business case scenario. Students determine whether the conclusions and claims are supported by the data, and in doing, they discover and learn how to identify common misuses of statistical information.

  • Student Tips in the margin reinforce hard-to-master concepts and provide quick study tips for mastering important details.
  • Getting Ready to Analyze Data in the Future: the final chapter helps students understand how to make decisions about which statistical methods to use in real world problems. This capstone chapter brings the issues in First Things First scenarios full circle, and gives students the ability to apply business statistics to the real world.

UPDATED! For the new edition, the chapter now includes sections on Business Analytics.

  • Case Studies offer realistic business scenarios Apply fundamental concepts. This text contains:
    • Detailed case studies that are included in numerous chapters.
    • A "Managing Ashland MultiComm Services" continuing case.
    • NEW! Recurring student survey case called "The Clear Mountain Student Survey"

 

This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

  • NEW! Excel launch enables students to quickly and easily launch data sets from exercises into a Microsoft Excel spreadsheet for analysis.
  • NEW! Excel 2016 questions (for both Windows® and Mac®) let you take advantage of the latest software.
  • NEW! Learning Catalytics questions for Business Statistics help students develop on-the-spot critical thinking and application of statistical concepts. Learning Catalytics is an interactive student response tool that uses students’ smartphones, tablets, or laptops to engage them in more sophisticated tasks and thinking. Now included with MyLab & Mastering with eText, Learning Catalytics enables you to generate classroom discussion, guide your lecture, and promote peer-to-peer learning with real-time analytics.

New to this Edition

New and updated features

  • Important Things to Learn First: this chapter has been developed for distribution online even before a first class meeting. Instructors teaching online or hybrid course sections may find this to be a particularly valuable tool to get students thinking about business statistics and learning the necessary foundational concepts.
  • Getting Ready to Analyze Data in the Future: this newly expanded version of Chapter 17 adds a second Using Statistics scenario that serves as an introduction to business analytics methods. That introduction, in turn, explains several advanced Excel features while familiarizing students with the fundamental concepts and vocabulary of business analytics. As such, the chapter provides students with a path for further growth and greater awareness about applying business statistics and analytics in their other courses and their business careers.
  • Expanded Excel Coverage Worksheet instructions replace the In-Depth Excel instructions in the Excel Guides and discuss more fully OS X Excel ("Excel for Mac") differences when they occur. Because the many current versions of Excel have varying capabilities, Appendix B begins by sorting through the possible confusion to ensure that students understand that not all Excel version, are alike.
  • In the Worksheet Notes help explain the worksheet illustrations that in-chapter examples use as model solutions.
  • Many more Exhibits, stand-alone summaries of important procedures that serve as a review of chapter passages.

Content Updates

  • The new First Things First Chapter replaces the seventh edition’s Let’s Get Started Chapter, keeping that chapter’s strength while immediately drawing readers into the changing face of statistics and business analytics with a new opening Using Statistics scenario. And like the previous edition’s opening chapter, Pearson Education openly posts this chapter so students can get started learning business statistics even before they obtain their textbooks.
  • Chapter 1 builds on the opening chapter with a new Using Statistics scenario that offers a cautionary tale about the importance of defining and collecting data. Rewritten Sections 1.1 (“Defining Variables”) and 1.2 (“Collecting Data”) use lessons from the scenario to underscore important points. Over one-third of the problems in this chapter are new or updated.
  • Chapter 2 features several new or updated data sets, including a new data sample of 407 retirement funds that illustrate a number of descriptive methods. The chapter now discusses doughnut charts and sparklines and contains a reorganized section on organizing and visualizing a mix of variables. Section 2.7 (“The Challenge in Organizing and Visualizing Variables”) expands on previous editions’ discussions that focused solely on visualization issues. This chapter uses an updated Clear Mountain State student survey as well. Over half of the problems in this chapter are new or updated.
  • Chapter 3 also uses the new retirement funds sample of 407 mutual funds and uses new or updated data sets for almost all examples that the chapter presents. Updated data sets include the restaurant meal cost samples and the NBA values data. This chapter also uses an updated Clear Mountain State student survey. Just under one-half of the problems in this chapter are new or updated.
  • Chapter 4 uses an updated Using Statistics scenario while preserving the best features of this chapter. The chapter now starts a section on Bayes’ theorem which completes as an online section, and 43% of the problems in the chapter are new or updated.
  • Chapter 5 has been streamlined with the sections “Covariance of a Probability Distribution and Its Application in Finance” and “Hypergeometric Distribution” becoming online sections. Nearly 40% of the problems in this chapter are new or updated.
  • Chapter 6 features an updated Using Statistics scenario and the section “Exponential Distribution” has become online sections. This chapter also uses an updated Clear Mountain State student survey. Over one-third of the problems in this chapter are new or updated.
  • Chapter 7 now contains an additional example on sampling distributions from a larger population, and one-in-three problems are new or updated.
  • Chapter 8 has been revised to provide enhanced explanations of Excel worksheet solutions and contains a rewritten “Managing Ashland MultiComm Services” case. This chapter also uses an updated Clear Mountain State student survey, and new or updated problems comprise 39% of the problems.
  • Chapter 9 contains refreshed data for its examples and enhanced Excel coverage that provides greater details about the hypothesis test worksheets that the chapter uses. Over 40% of the problems in this chapter are new or updated.
  • Chapter 10 contains a new Using Statistics scenario that relates to sales of streaming video players and that connects to Using Statistics scenarios in Chapters 11 and 17. This chapter gains a new online section on effect size. The Clear Mountain State survey has been updated, and over 40% of the problems in this chapter are new or updated.
  • Chapter 11 expands on the Chapter 10 Using Statistics scenario that concerns the sales of mobile electronics. The Clear Mountain State survey has been updated. Over one-quarter of the problems in this chapter are new or updated.
  • Chapter 12 now incorporates material that was formerly part of the “Short Takes” for the chapter. The chapter also includes updated “Managing Ashland MultiComm Services” and Clear Mountain State student survey cases and 41% of the problems in this chapter are new or updated.
  • Chapter 13 features a brand new opening passage that better sets the stage for the discussion of regression that continues in subsequent chapters. Chapter 13 also features substantially revised and expanded Excel coverage that describes more fully the details of regression results worksheets. Nearly one-half of the problems in this chapter are new or updated.
  • Chapter 14 likewise contains expanded Excel coverage, with some Excel Guides sections completely rewritten. As with Chapter 13, nearly one-half of the problems in this chapter are new or updated.
  • Chapter 15 contains a revised opening passage, and the “Using Transformations with Regression Models” section has been greatly expanded with additional examples. Over 40% of the problems in this chapter are new or updated.
  • Chapter 16 contains updated chapter examples concerning movie attendance data and Cola-Cola Company and Wal-Mart Stores revenues. Two-thirds of the problems in this chapter are new or updated.
  • Chapter 17 has been retitled “Getting Ready to Analyze Data” and now includes sections on Business Analytics that return to issues that the First Things First Chapter scenario raises and that provide students with a path to future learning and application of business statistics. One-half of the problems in this chapter are new or updated.

This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

  • NEW! Excel launch enables students to quickly and easily launch data sets from exercises into a Microsoft Excel spreadsheet for analysis.
  • NEW! Excel 2016 questions (for both Windows® and Mac®) let you take advantage of the latest software.
  • NEW! Learning Catalytics questions for Business Statistics help students develop on-the-spot critical thinking and application of statistical concepts. Learning Catalytics is an interactive student response tool that uses students’ smartphones, tablets, or laptops to engage them in more sophisticated tasks and thinking. Now included with MyLab & Mastering with eText, Learning Catalytics enables you to generate classroom discussion, guide your lecture, and promote peer-to-peer learning with real-time analytics.

Table of Contents

First Things First

  USING STATISTICS: “The Price of Admission”

FTF.1 Think Differently About Statistics

FTF.2 Business Analytics: The Changing Face of Statistics

FTF.3 Getting Started Learning Statistics

FTF.4 Preparing to Use Microsoft Excel for Statistics

   REFERENCES

  KEY TERMS

  EXCEL GUIDE

 

1. Defining and Collecting Data

  USING STATISTICS: Defining Moments

1.1 Defining Variables

1.2 Collecting Data

1.3 Types of Sampling Methods

1.4 Data Preparation

1.5 Types of Survey Errors

  CONSIDER THIS: New Media Surveys/Old Sampling Problems

  SUMMARY

  REFERENCES

  KEY TERMS

  USING STATISTICS: Defining Moments, Revisited

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  CardioGood Fitness

  Clear Mountain State Student Survey

  Learning with the Digital Cases

  CHAPTER 1 EXCEL GUIDE

 

2. Organizing and Visualizing Variables

  USING STATISTICS: “The Choice is Yours”

2.1 Organizing Categorical Variables

2.2 Organizing Numerical Variables

2.3 Visualizing Categorical Variables

2.4 Visualizing Numerical Variables

2.5 Visualizing Two Numerical Variables

2.6 Organizing and Visualizing a Mix of Variables

2.7 The Challenge in Organizing and Visualizing Variables

  USING STATISTICS: The Choice is Yours, Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  CardioGood Fitness

  The Choice is Yours Follow-Up

  Clear Mountain State Student Survey

  CHAPTER 2 EXCEL GUIDE

 

3. Numerical Descriptive Measures

  USING STATISTICS: More Descriptive Choices

3.1 Central Tendency

3.2 Variation and Shape

3.3 Exploring Numerical Data

3.4 Numerical Descriptive Measures for a Population

3.5 The Covariance and the Coefficient of Correlation

3.6 Statistics: Pitfalls and Ethical Issues

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  CardioGood Fitness

  More Descriptive Choices Follow-up

  Clear Mountain State Student Survey

  CHAPTER 3 EXCEL GUIDE

 

4. Basic Probability

  USING STATISTICS: Possibilities at M&R Electronics World

4.1 Basic Probability Concepts

4.2 Conditional Probability

4.3 Ethical Issues and Probability

4.4 Bayes’ Theorem

  CONSIDER THIS: Divine Providence and Spam

4.5 Counting Rules

  USING STATISTICS: Possibilities at M&R Electronics World, Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES DIGITAL CASE

  CardioGood Fitness

  The Choice is Yours Follow-Up

  Clear Mountain State Student Survey

  CHAPTER 4 EXCEL GUIDE

 

5. Discrete Probability Distributions

  USING STATISTICS: Events of Interest at Ricknel Home Centers

5.1 The Probability Distribution for a Discrete Variable

5.2 Binomial Distribution

5.3 Poisson Distribution

5.4 Covariance of a Probability Distribution and its Application in Finance

5.5 Hypergeometric Distribution

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  CHAPTER 5 EXCEL GUIDE

 

6. The Normal Distribution and Other Continuous Distributions

  USING STATISTICS: Normal Load Times at MyTVLab

6.1 Continuous Probability Distributions

6.2 The Normal Distribution

6.3 Evaluating Normality

6.4 The Uniform Distribution

6.5 The Exponential Distribution

6.6 The Normal Approximation to the Binomial Distribution

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  CardioGood Fitness

  More Descriptive Choices Follow-up

  Clear Mountain State Student Survey

  Digital Case

  CHAPTER 6 EXCEL GUIDE

 

7. Sampling Distributions

  USING STATISTICS: Sampling Oxford Cereals

7.1 Sampling Distributions

7.2 Sampling Distribution of the Mean

7.3 Sampling Distribution of the Proportion

  SUMMARY

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland Multicomm Services

  Digital Case

  CHAPTER 7 EXCEL GUIDE

 

8. Confidence Interval Estimation

  USING STATISTICS: Getting Estimates at Ricknel Home Centers

8.1 Confidence Interval Estimate for the Mean (Known)

8.2 Confidence Interval Estimate for the Mean (Unknown)

8.3 Confidence Interval Estimate for the Proportion

8.4 Determining Sample Size

8.5 Confidence Interval Estimation and Ethical Issues

8.6 Application of Confidence Interval Estimation in Auditing

8.7 Estimation and Sample Size Estimation for Finite Populations

8.8 Bootstrapping

  USING STATISTICS: Getting Estimates . . . , Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  Sure Value Convenience Stores

  CardioGood Fitness

  More Descriptive Choices Follow-Up

  Clear Mountain State Student Survey

  CHAPTER 8 EXCEL GUIDE

 

9. Fundamentals of Hypothesis Testing: One-Sample Tests

  USING STATISTICS: Significant Testing at Oxford Cereals

9.1 Fundamentals of Hypothesis-Testing Methodology

9.2 t Test of Hypothesis for the Mean (Unknown)

9.3 One-Tail Tests

9.4 Z Test of Hypothesis for the Proportion

9.5 Potential Hypothesis-Testing Pitfalls and Ethical Issues

9.6 Power of the Test

  USING STATISTICS: Significant Testing . . ., Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  Sure Value Convenience Stores

  CHAPTER 9 EXCEL GUIDE

 

10. Two-Sample Tests

  USING STATISTICS: Differing Means for Selling Streaming Media Players at Arlingtons?

10.1 Comparing the Means of Two Independent Populations

10.2 Comparing the Means of Two Related Populations

10.3 Comparing the Proportions of Two Independent Populations

10.4 F Test for the Ratio of Two Variances

10.5 Effect Size

  USING STATISTICS: Differing Means for Selling...Revisited

  SUMMARY

  REFERENCES

  KEY TERMS

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  Sure Value Convenience Stores

  CardioGood Fitness

  More Descriptive Choices Follow-Up

  Clear Mountain State Student Survey

  CHAPTER 10 EXCEL GUIDE

 

11. Analysis of Variance

  USING STATISTICS: The Means to Find Differences at Arlingtons

11.1 The Completely Randomized Design: One-Way ANOVA

11.2 The Factorial Design: Two-Way ANOVA

11.3 The Randomized Block Design

11.4 Fixed Effects, Random Effects, and Mixed Effects Models

  USING STATISTICS: The Means to Find Differences at Arlingtons Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services Phase

  Phase

      Digital Case

  Sure Value Convenience Stores

  CardioGood Fitness

  More Descriptive Choices Follow-Up

  Clear Mountain State Student Survey

  CHAPTER 11 EXCEL GUIDE

 

12. Chi-Square and Nonparametric Tests

  USING STATISTICS: Avoiding Guesswork about Resort Guests

12.1 Chi-Square Test for the Difference Between Two Proportions

12.2 Chi-Square Test for Differences Among More Than Two Proportions

12.3 Chi-Square Test of Independence

12.4 Wilcoxon Rank Sum Test: A Nonparametric Method for Two Independent Populations

12.5 Kruskal-Wallis Rank Test: A Nonparametric Method for the One-Way ANOVA

12.6 McNemar Test for the Difference Between Two Proportions (Related Samples)

12.7 Chi-Square Test for the Variance or Standard Deviation

  USING STATISTICS: Avoiding Guesswork..., Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  Sure Value Convenience Stores

  CardioGood Fitness

  More Descriptive Choices Follow-Up

  Clear Mountain State Student Survey

  CHAPTER 12 EXCEL GUIDE

 

13. Simple Linear Regression

  USING STATISTICS: Knowing Customers at Sunflowers Apparel

13.1 Types of Regression Models

13.2 Determining the Simple Linear Regression Equation

13.3 Measures of Variation

13.4 Assumptions of Regression

13.5 Residual Analysis

13.6 Measuring Autocorrelation: The Durbin-Watson Statistic

13.7 Inferences About the Slopeand Correlation Coefficient

13.8 Estimation of Mean Values and Prediction of Individual Values

13.9 Potential Pitfalls in Regression

  USING STATISTICS: Knowing Customers...,Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  Brynne Packaging

  CHAPTER 13 EXCEL GUIDE

 

14. Introduction to Multiple Regression

  USING STATISTICS: The Multiple Effects of OmniPower Bars

14.1 Developing a Multiple Regression Model

14.2 r2, Adjusted r2, and the Overall F Test

14.3 Residual Analysis for the Multiple Regression Model

14.4 Inferences Concerning the Population Regression Coefficients

14.5 Testing Portions of the Multiple Regression Model

14.6 Using Dummy Variables and Interaction Terms in Regression Models

14.7 Logistic Regression

  USING STATISTICS: The Multiple Effects . . ., Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  CHAPTER 14 EXCEL GUIDE

 

15. Multiple Regression Model Building

  USING STATISTICS: Valuing Parsimony at WSTA-TV

15.1 Quadratic Regression Model

15.2 Using Transformations in Regression Models

15.3 Collinearity

15.4 Model Building

15.5 Pitfalls in Multiple Regression and Ethical Issues

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  The Mountain States Potato Company

  Sure Value Convenience Stores

  Digital Case

  The Craybill Instrumentation Company Case

  More Descriptive Choices Follow-Up

  CHAPTER 15 EXCEL GUIDE

 

16. Time-Series Forecasting

  USING STATISTICS: Principled Forecasting

16.1 The Importance of Business Forecasting

16.2 Component Factors of Time-Series Models

16.3 Smoothing an Annual Time Series

16.4 Least-Squares Trend Fitting and Forecasting

16.5 Autoregressive Modeling for Trend Fitting and Forecasting

16.6 Choosing an Appropriate Forecasting Model

16.7 Time-Series Forecasting of Seasonal Data

16.8 Index Numbers

Consider This

  USING STATISTICS: Principled Forecasting, Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHECKING YOUR UNDERSTANDING

  CHAPTER REVIEW PROBLEMS

  CASES FOR CHAPTER

  Managing Ashland MultiComm Services

  Digital Case

  CHAPTER 16 EXCEL GUIDE

 

17. Getting Ready to Analyze Data in the Future

  USING STATISTICS: Mounting Future Analyses

17.1 Analyzing Numerical Variables

17.2 Analyzing Categorical Variables

17.3 Introduction to Business Analytics

  USING STATISTICS: Back to Arlingtons for the Future

17.4 Descriptive Analytics

17.5 Predictive Analytics

  USING STATISTICS: The Future to be Visited

  REFERENCES

  CHAPTER REVIEW PROBLEMS

  CHAPTER 17 EXCEL GUIDE

 

18. Statistical Applications in Quality Management (online)

  USING STATISTICS: Finding Quality at the Beachcomber

18.1 The Theory of Control Charts

18.2 Control Chart for the Proportion: The p Chart

18.3 The Red Bead Experiment: Understanding Process Variability

18.4 Control Chart for an Area of Opportunity: The c Chart

18.5 Control Charts for the Range and the Mean

18.6 Process Capability

18.7 Total Quality Managementice

18.8 Six Sigma

  USING STATISTICS: Finding Quality at the Beachcomber, Revisited

  SUMMARY

  REFERENCES

  KEY EQUATIONS

  KEY TERMS

  CHAPTER REVIEW PROBLEMS

  THE HARNSWELL SEWING MACHINE COMPANY CASE

  MANAGING ASHLAND MULTICOMM SERVICES

  CHAPTER 18 EXCEL GUIDE

 

19. Decision Making (online)

  USING STATISTICS: Reliable Decision Making

19.1 Payoff Tables and Decision Trees

19.2 Criteria for Decision Making

19.3 Decision Making with Sample Information

19.4 Utility

  CONSIDER THIS: Risky Business

  USING STATISTICS: Reliable Decision-Making, Revisited

  SUMMARY 19.23

  REFERENCES 19.23

  KEY EQUATIONS 19.23

  KEY TERMS 19.23

  CHAPTER 19 EXCEL GUIDE 19.27

 

Appendices

A. Basic Math Concepts and Symbols

  A.1 Rules for Arithmetic Operations

  A.2 Rules for Algebra: Exponents and Square Roots

  A.3 Rules for Logarithms

  A.4 Summation Notation

  A.5 Statistical Symbols

  A.6 Greek Alphabet

B. Important Excel and Minitab Skills and Concepts

  B.1 Which Excel Do You Use?

  B.2 Basic Operations

  B.2 Formulas and Cell References

  B.4 Entering a Formula

  B.5 Formatting Cell Contents

  B.6 Formatting Charts

  B.7 Selecting Cell Ranges for Charts

  B.8 Deleting the “Extra” Histogram Bar

  B.9 Creating Histograms for Discrete Probability Distributions

C. Online Resources

  C.1 About the Online Resources for This Book

  C.2 Accessing the Online Resources

  C.3 Details Online Resources

  C.4 PHStat

D. Configuring Microsoft Excel

  D.1 Getting Microsoft Excel Ready for Use

  D.2 Checking for the Presence of the Analysis ToolPak or Solver Add-Ins

  D.3 Configuring Microsoft Windows Excel Security Settings

  D.4 Opening Pearson-Supplied Add-Ins

E. Tables

  E.1 Table of Random Numbers

  E.2 The Cumulative Standardized Normal Distribution

  E.3 Critical Values of t

  E.4 Critical Values of

  E.5 Critical Values of F

  E.6 Lower and Upper Critical Values, T1, of the Wilcoxon Rank Sum Test

  E.7 Critical Values of the Studentized Range, Q

  E.8 Critical Values, dI and dU, of the Durbin–Watson Statistic, D (Critical Values Are One-Sided)

  E.9 Control Chart Factors

  E.10 The Standardized Normal Distribution online

F. Useful Excel Knowledge

  F.1 Useful Keyboard Shortcuts

  F.2 Verifying Formulas and Worksheets

  F.3 New Function Names

  F.4 Understanding the Nonstatistical Functions

G. Software FAQs

  G.1 PHStat FAQs

  G.2 Microsoft Excel FAQs

 

Self-Test Solutions and Answers to Selected Even-Numbered Problems

Index