Statistics for Business and Economics / Edition 12

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Overview

Statistics for Business and Economics, Twelfth Edition, meets today's business students with a balance of clarity and rigor, and applications incorporated from a diverse range of industries. This classic text covers a wide variety of data collection and analysis techniques with these goals in mind: developing statistical thinking, learning to assess the credibility and value of inferences made from data, and making informed business decisions.

The Twelfth Edition has been updated with real, current data in many of the exercises, examples, and applications. Exercises draw on actual business situations and recent economic events so that students can test their knowledge throughout the course. Statistics in Action case studies open each chapter with a recent, controversial, or high-profile business issue, motivating students to critically evaluate the findings and think through the statistical issues involved. A continued emphasis on ethics highlights the importance of ethical behavior in collecting, interpreting, and reporting on data.

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Editorial Reviews

Booknews
For business students ready for total immersion in multiple regression analysis, model building, analysis of variance, and categorical data analysis, this iteration offers such highlights as exploring data with statistical computer software and the TI-83 graphing calculator, "statistics in action" issues (e.g. ethics in computer technology and use), and reality-based exercises. Appends basic counting rules, statistical tables, analysis of variance formulas, and answers to selected exercises. Supplementary materials are available. Those who find this weighty text daunting may be relieved to know that a streamlined version, , for single semester courses is available. McClave is at the U. of Florida. No dates are furnished for previous editions. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Booknews
A new edition of an advanced undergraduate level text intended for students with a non-calculus background. Presents statistical theory and principles in the context of real business situations to encourage practical problem-solving. Also covers some of the technological tools available, including EXCEL, SPSS, SAS, or Minitab. MacIntosh or Windows data disk includes learning objectives, thinking challenges, concept presentation slides, and worked examples. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780321826237
  • Publisher: Pearson
  • Publication date: 1/16/2013
  • Edition description: New Edition
  • Edition number: 12
  • Pages: 864
  • Sales rank: 129,714
  • Product dimensions: 8.70 (w) x 11.00 (h) x 1.40 (d)

Meet the Author

Dr. Jim McClave is currently President and CEO of Info Tech, Inc., a statistical consulting and software development firm with an international clientele. He is an Adjunct Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for 20 years.

P. George Benson is the 21st president of the College of Charleston. Prior to his appointment, he was Dean at the University of Georgia’s C. Herman and Mary Virginia Terry College of Business. His research interests include quality management, strategic management, belief formation, and judgmental forecasting. He consults nationally in the areas of applied statistics, quality management, and employment discrimination.

Terry Sincich obtained his PhD in statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates in the College of Business, as well as advanced statistics to all business doctoral candidates. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, A First Course in Statistics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.

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Read an Excerpt

PREFACE:

Preface

This eighth edition of Statistics for Business and Economics is an introductory business text emphasizing inference, with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and to make good decisions. As in earlier editions, the text stresses the development of statistical thinking, the assessment of credibility and value of the inferences made from data, both by those who consume and those who produce them. It assumes a mathematical background of basic algebra.

A briefer version of the book, A First Course in Business Statistics, is available for single semester courses that include minimal coverage of regression analysis, analysis of variance, and categorical data analysis.

NEW IN THE EIGHTH EDITION

Major Content Changes

Chapter 2 includes two new optional sections: methods for detecting outliers (Section 2.8) and graphing bivariate relationships (Section 2.9).

Chapter 5 now covers descriptive methods for assessing whether a data set is approximately normally distributed.

Chapter 11 is a new multiple regression chapter. The material on multiple regression models and model building (Chapters 11 and 12 in previous editions) is reorganized into a single, streamlined chapter, with initial emphasis on the first-order model. More complex models (e.g., interaction, quadratic, and dummy variable models) are presented in increasing order of difficulty. Coverage of residual analysis (Section 11.13) is expanded to include treatment of heteroscedastic errors.

Exploring Data withStatistical Computer Software and the Graphing Calculator—Throughout the text, computer printouts from four popular Windows-based statistical software packages (SAS, SPSS, MINITAB, STATISTIX) are displayed and used to make decisions about the data. New to this edition, we have included instruction boxes and output for the TI-83 graphing calculator.

Statistics in Action—One or two features per chapter examine current real-life, high-profile issues. Data from the study is presented for analysis. Questions prompt the students to form their own conclusions and to think through the statistical issues involved.

Real-World Business Cases—Six extensive business problem-solving cases, with real data and assignments. Each case serves as a good capstone and review of the material that has preceded it.

Real-Data Exercises—Almost all the exercises in the text employ the use of current real data taken from a wide variety of publications (e.g., newspapers, magazines, and journals).

Quick Review—Each chapter ends with a list of key terms and formulas, with reference to the page number where they first appear.

Language Lab—Following the Quick Review is a pronunciation guide for Greek letters and other special terms. Usage notes are also provided.

TRADITIONAL STRENGTHS

We have maintained the features of Statistics for Business and Economics that we believe make it unique among business statistics texts. These features, which assist the student in achieving an overview of statistics and an understanding of its relevance in the business world and in everyday life, are as follows:

The Use of Examples as a Teaching Device

Almost all new ideas are introduced and illustrated by real data-based applications and examples. We believe that students better understand definitions, generalizations, and abstractions after seeing an application.

Many Exercises—Labeled by Type

The text includes more than 1,400 exercises illustrated by applications in almost all areas of research. Because many students have trouble learning the mechanics of statistical techniques when problems are couched in terms of realistic applications, all exercise sections are divided into two parts:

  • Learning the Mechanics. Designed as straightforward applications of new concepts, these exercises allow students to test their ability to comprehend a concept or a definition.


  • Applying the Concepts. Based on applications taken from a wide variety of journals, newspapers, and other sources, these exercises develop the student's skills to comprehend real-world problems and describe situations to which the techniques may be applied.

A Choice in Level of Coverage of Probability (Chapter 3)

One of the most troublesome aspects of an introductory statistics course is the study of probability. Probability poses a challenge for instructors because they must decide on the level of presentation, and students find it a difficult subject to comprehend. We believe that one cause for these problems is the mixture of probability and counting rules that occurs in most introductory texts. We have included the counting rules in a separate and optional section at the end of the chapter on probability. In addition, all exercises that require the use of counting rules are marked with an asterisk (*). Thus, the instructor can control the level of coverage of probability.

Extensive Coverage of Multiple Regression Analysis
and Model Building (Chapter 11)

This topic represents one of the most useful statistical tools for the solution of applied problems. Although an entire text could be devoted to regression modeling, we believe we have presented coverage that is understandable, usable, and much more comprehensive than the presentations in other introductory statistics texts.

We devote three chapters to discussing the major types of inferences that can be derived from a regression analysis, showing how these results appear in computer printouts and, most important, selecting multiple regression models to be used in an analysis. Thus, the instructor has the choice of a one-chapter coverage of simple regression, a two-chapter treatment of simple and multiple regression, or a complete three-chapter coverage of simple regression, multiple regression, and model building. This extensive coverage of such useful statistical tools will provide added evidence to the student of the relevance of statistics to the solution of applied problems.

Footnotes

Although the text is designed for students with a non-calculus background, footnotes explain the role of calculus in various derivations. Footnotes are also used to inform the student about some of the theory underlying certain results. The footnotes allow additional flexibility in the mathematical and theoretical level at which the material is presented.

SUPPLEMENTS FOR THE INSTRUCTOR

The supplements for the eighth edition have been completely revised to reflect the revisions of the text. To ensure adherence to the approaches presented in the main text, each element in the package has been accuracy checked for clarity, and freedom from computational, typographical, and statistical errors.

Annotated Instructor's Edition (AIE) (ISBN 0-13-027985-4)

Marginal notes placed next to discussions of essential teaching concepts include:

  • Teaching Tips—suggest alternative presentations or point out common student errors
  • Exercises—reference specific section and chapter exercises that reinforce the concept
  • A disk icon identifies data sets and file names of material found on the data disks
  • Short Answers—section and chapter exercise answers are provided next to the selected exercises

Instructor's Notes by Mark Dummeldinger (ISBN 0-13-027410-0)

This printed resource contains suggestions for using the questions at the end of the Statistics in Action boxes as the basis for class discussion on statistical ethics and other current issues, solutions to the Real-World Cases, a complete short answer book with letter of permission to duplicate for student use, and many of the exercises and solutions that were removed from previous editions of this text.

Instructor's Solutions Manual by Nancy S. Boudreau
(ISBN 0-13-027421-6)

Solutions to all of the even-numbered exercises are given in this manual. Careful attention has been paid to ensure that all methods of solution and notation are consistent with those used in the core text. Solutions to the odd-numbered exercises are found in the Student's Solutions Manual.

Test Bank by Mark Dummeldinger (ISBN 0-13-027419-4)

Entirely rewritten, the Test Bank now includes more than 1,000 problems that correlate to problems presented in the text.

Test Gen EQ

  • Menu-driven random test system
  • Networkable for administering tests and capturing grades online
  • Edit and add your own questions—or use the new "Function Plotter" to create a nearly unlimited number of tests and drill worksheets

PowerPoint Presentation Disk by Mark Dummeldinger
(ISBN 0-13027365-1)

This versatile Windows-based tool may be used by professors in a number of different ways:

  • Slide show in an electronic classroom
  • Printed and used as transparency masters
  • Printed copies may be distributed to students as a convenient note-taking device

Included on the software disk are learning objectives, thinking challenges, concept presentation slides, and examples with worked-out solutions. The PowerPoint Presentation Disk may be downloaded from the FTP site found at the McClave Web site.

Data Disk—available free with every text purchased from Prentice Hall

The data sets for all exercises and cases are available on a 3 1/2" diskette in ASCII format in the back of the book. When a given data set is referenced, a disk symbol and the file name will appear in the text near the exercise.

McClave Internet Site (...

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Table of Contents

1. Statistics, Data, and Statistical Thinking

1.1 The Science of Statistics

1.2 Types of Statistical Applications in Business

1.3 Fundamental Elements of Statistics

1.4 Processes (Optional)

1.5 Types of Data

1.6 Collecting Data: Sampling and Related Issues

1.7 Critical Thinking with Statistics

Statistics in Action: A 20/20 View of Surveys: Fact or Fiction?

Activity 1.1: Keep the Change: Collecting Data

Activity 2.2: Identifying Misleading Statistics

Using Technology: Accessing and Listing Data; Random Sampling

2. Methods for Describing Sets of Data

2.1 Describing Qualitative Data

2.2 Graphical Methods for Describing Quantitative Data

2.3 Numerical Measures of Central Tendency

2.4 Numerical Measures of Variability

2.5 Using the Mean and Standard Deviation to Describe Data

2.6 Numerical Measures of Relative Standing

2.7 Methods for Detecting Outliers: Box Plots and z-Scores

2.8 Graphing Bivariate Relationships (Optional)

2.9 The Time Series Plot (Optional)

2.10 Distorting the Truth with Descriptive Techniques

Statistics in Action: Can Money Buy Love?

Activity 2.1: Real Estate Sales

Activity 2.2: Keep the Change: Measures of Central Tendency and Variability

Using Technology: Describing Data

Making Business Decisions: The Kentucky Milk Case Part 1 (Covers Chapters 1 and 2)

3. Probability

3.1 Events, Sample Spaces, and Probability

3.2 Unions and Intersections

3.3 Complementary Events

3.4 The Additive Rule and Mutually Exclusive Events

3.5 Conditional Probability

3.6 The Multiplicative Rule and Independent Events

3.7 Bayes’s Rule

Statistics in Action: Lotto Buster!

Activity 3.1: Exit Polls: Conditional Probability

Activity 3.2: Keep the Change: Independent Events

Using Technology: Combinations and Permutations

4. Random Variables and Probability Distributions

4.1 Two Types of Random Variables

PART I: Discrete Random Variables

4.2 Probability Distributions for Discrete Random Variables

4.3 The Binomial Distribution

4.4 Other Discrete Distributions: Poisson and Hypergeometric

PART II: Continuous Random Variables

4.5 Probability Distributions for Continuous Random Variables

4.6 The Normal Distribution

4.7 Descriptive Methods for Assessing Normality

4.8 Other Continuous Distributions: Uniform and Exponential

Statistics in Action: Probability in a Reverse Cocaine Sting: Was Cocaine Really Sold?

Activity 4.1: Warehouse Club Memberships: Exploring a Binomial Random Variable

Activity 4.2: Identifying the Type of Probability Distribution

Using Technology: Discrete Probabilities, Continuous Probabilities, and Normal Probability Plots

5. Sampling Distributions

5.1 The Concept of a Sampling Distribution

5.2 Properties of Sampling Distributions: Unbiasedness and Minimum Variance

5.3 The Sampling Distribution of the Sample Mean and the Central Limit Theorem

5.4 The Sampling Distribution of the Sample Proportion

Statistics in Action: The Insomnia Pill: Is It Effective?

Activity 5.1: Simulating a Sampling Distribution Cell Phone Usage

Using Technology: Simulating a Sampling Distribution

Making Business Decisions: The Furniture Fire Case (Covers Chapters 3–5)

6. Inferences Based on a Single Sample: Estimation with Confidence Intervals

6.1 Identifying and Estimating the Target Parameter

6.2 Confidence Interval for a Population Mean: Normal (z) Statistic

6.3 Confidence Interval for a Population Mean: Student’s t-Statistic

6.4 Large-Sample Confidence Interval for a Population Proportion

6.5 Determining the Sample Size

6.6 Finite Population Correction for Simple Random Sampling (Optional)

6.7 Confidence Interval for a Population Variance (Optional)

Inferences Based on a Single Sample: Estimation with Confidence Intervals

Statistics in Action: Medicare Fraud Investigations

Activity 6.1: Conducting a Pilot Study

Using Technology: Confidence Intervals

7. Inferences Based on a Single Sample: Tests of Hypotheses

7.1 The Elements of a Test of Hypothesis

7.2 Formulating Hypotheses and Setting Up the Rejection Region

7.3 Observed Significance Levels: p-Values

7.4 Test of Hypothesis about a Population Mean: Normal (z) Statistic

7.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic

7.6 Large-Sample Test of Hypothesis about a Population Proportion

7.7 Test of Hypothesis about a Population Variance

7.8 Calculating Type II Error Probabilities: More about b (Optional)

Statistics in Action: Diary of a Kleenex® User—How Many Tissues in a Box?

Activity 7.1: Challenging a Company's Claim: Tests of Hypotheses

Activity 7.2: Keep the Change: Tests of Hypotheses

Using Technology: Tests of Hypotheses

8. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses

8.1 Identifying the Target Parameter

8.2 Comparing Two Population Means: Independent Sampling

8.3 Comparing Two Population Means: Paired Difference Experiments

8.4 Comparing Two Population Proportions: Independent Sampling

8.5 Determining the Required Sample Size

8.6 Comparing Two Population Variances: Independent Sampling

Statistics in Action: ZixIt Corp. v. Visa USA Inc.—A Libel Case

Activity 8.1: Box Office Receipts: Comparing Population Means

Activity 8.2: Keep the Change: Inferences Based on Two Samples

Using Technology: Two-Sample Inferences

Making Business Decisions: The Kentucky Milk Case—Part II (Covers Chapters 6–8)

9. Design of Experiments and Analysis of Variance

9.1 Elements of a Designed Experiment

9.2 The Completely Randomized Design: Single Factor

9.3 Multiple Comparisons of Means

9.4 The Randomized Block Design

9.5 Factorial Experiments: Two Factors

Statistics in Action: Pollutants at a Housing Development—A Case of Mishandling Small Samples

Activity 9.1: Designed vs. Observational Experiments

Using Technology: Analysis of Variance

10. Categorical Data Analysis

10.1 Categorical Data and the Multinomial Experiment

10.2 Testing Category Probabilities: One-Way Table

10.3 Testing Category Probabilities: Two-Way (Contingency) Table

10.4 A Word of Caution about Chi-Square Tests

Statistics in Action: The Case of the Ghoulish Transplant Tissue—Who Is Responsible for Paying Damages?

Activity 10.1: Binomial vs. Multinomial Experiments

Activity 10.2: Contingency Tables

Using Technology: Chi-Square Analyses

Making Business Decisions: Discrimination in the Workplace (Covers Chapters 9 and 10)

11. Simple Linear Regression

11.1 Probabilistic Models

11.2 Fitting the Model: The Least Squares Approach

11.3 Model Assumptions

11.4 Assessing the Utility of the Model: Making Inferences about the Slope b 1

11.5 The Coefficients of Correlation and Determination

11.6 Using the Model for Estimation and Prediction

11.7 A Complete Example

Statistics in Action: Legal Advertising—Does It Pay?

Activity 11.1: Apply Simple Linear Regression to Your Favorite Data

Using Technology: Simple Linear Regression

12. Multiple Regression and Model Building

12.1 Multiple Regression Models

PART I: First-Order Models with Quantitative Independent Variables

12.2 Estimating and Making Inferences about the b Parameters

12.3 Evaluating Overall Model Utility

12.4 Using the Model for Estimation and Prediction

PART II: Model Building in Multiple Regression

12.5 Interaction Models

12.6 Quadratic and Other Higher-Order Models

12.7 Qualitative (Dummy) Variable Models

12.8 Models with Both Quantitative and Qualitative Variables

12.9 Comparing Nested Models

12.10 Stepwise Regression

PART III: Multiple Regression Diagnostics

12.11 Residual Analysis: Checking the Regression Assumptions

12.12 Some Pitfalls: Estimability, Multicollinearity, and Extrapolation

Statistics in Action: Bid Rigging in the Highway Construction Industry

Activity 12.1: Insurance Premiums: Collecting Data for Several Variables

Activity 12.2: Collecting Data and Fitting a Multiple Regression Model

Using Technology: Multiple Regression

Making Business Decisions: The Condo Sales Case (Covers Chapters 11 and 12)

13. Methods for Quality Improvement: Statistical Process Control (Available on CD)

13.1 Quality, Processes, and Systems

13.2 Statistical Control

13.3 The Logic of Control Charts

13.4 A Control Chart for Monitoring the Mean of a Process: The [x-bar]-Chart

13.5 A Control Chart for Monitoring the Variation of a Process: The R-Chart

13.6 A Control Chart for Monitoring the Proportion of Defectives Generated by a Process: The p-Chart

13.7 Diagnosing the Causes of Variation

13.8 Capability Analysis

Statistics in Action: Testing Jet Fuel Additive for Safety

Activity 13.1: Quality Control: Consistency

Using Technology: Control Charts

MAKING BUSINESS DECISIONS: The Gasket Manufacturing Case (Covers Chapter 13)

14. Time Series: Descriptive Analyses, Models, and Forecasting (Available on CD)

14.1 Descriptive Analysis: Index Numbers

14.2 Descriptive Analysis: Exponential Smoothing

14.3 Time Series Components

14.4 Forecasting: Exponential Smoothing

14.5 Forecasting Trends: Holt’s Method

14.6 Measuring Forecast Accuracy: MAD and RMSE

14.7 Forecasting Trends: Simple Linear Regression

14.8 Seasonal Regression Models

14.9 Autocorrelation and the Durbin-Watson Test

Statistics in Action: Forecasting the Monthly Sales of a New Cold Medicine

Activity 14.1: Time Series

Using Technology: Forecasting

15. Nonparametric Statistics (Available on CD)

15.1 Introduction: Distribution-Free Tests

15.2 Single Population Inferences

15.3 Comparing Two Populations: Independent Samples

15.4 Comparing Two Populations: Paired Difference Experiment

15.5 Comparing Three or More Populations: Completely Randomized Design

15.6 Comparing Three or More Populations: Randomized Block Design

15.7 Rank Correlation

Statistics in Action: How Vulnerable Are New Hampshire Wells to Groundwater Contamination?

Activity 15.1: Keep the Change: Nonparametric Statistics

Using Technology: Nonparametric Tests

Making Business Decisions: Detecting “Sales Chasing” (Covers Chapters 10 and 15)

Appendix A: Summation Notation

Appendix B: Basic Counting Rules

Appendix C: Calculation Formulas for Analysis of Variance

C.1 Formulas for the Calculations in the Completely Randomized Design

C.2 Formulas for the Calculations in the Randomized Block Design

C.3 Formulas for the Calculations for a Two-Factor Factorial Experiment

C.4 Tukey's Multiple Comparisons Procedure (Equal Sample Sizes)

C.5 Bonferroni Multiple Comparisons Procedure (Pairwise Comparisons)

C.6 Scheffé's Multiple Comparisons Procedure (Pairwise Comparisons)

Appendix D: Tables

Table I. Binomial Probabilities

Table II. Normal Curve Areas

Table III. Critical Values of t

Table IV. Critical Values of x 2

Table V. Percentage Points of the F-Distribution, α = .10

Table VI. Percentage Points of the F-Distribution, α = .05

Table VII. Percentage Points of the F-Distribution, α = .025

Table VIII. Percentage Points of the F-Distribution, α = .01

Table IX. Control Chart Constants

Table X. Critical Values for the Durbin-Watson d-Statistic, α = .05

Table XI. Critical Values for the Durbin-Watson d-Statistic, α = .01

Table XII. Critical Values of TL and Tu for the Wilcoxon Rank Sum Test: Independent Samples

Table XIII. Critical Values of T0 in the Wilcoxon Paired Difference Signed Rank Test

Table XIV. Critical Values of Spearman's Rank Correlation Coefficient

Table XV. Critical Values of the Studentized Range, α = .05

Answers to Selected Exercises

Index

Credits

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Preface

PREFACE:

Preface

This eighth edition of Statistics for Business and Economics is an introductory business text emphasizing inference, with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and to make good decisions. As in earlier editions, the text stresses the development of statistical thinking, the assessment of credibility and value of the inferences made from data, both by those who consume and those who produce them. It assumes a mathematical background of basic algebra.

A briefer version of the book, A First Course in Business Statistics, is available for single semester courses that include minimal coverage of regression analysis, analysis of variance, and categorical data analysis.

NEW IN THE EIGHTH EDITION

Major Content Changes

Chapter 2 includes two new optional sections: methods for detecting outliers (Section 2.8) and graphing bivariate relationships (Section 2.9).

Chapter 5 now covers descriptive methods for assessing whether a data set is approximately normally distributed.

Chapter 11 is a new multiple regression chapter. The material on multiple regression models and model building (Chapters 11 and 12 in previous editions) is reorganized into a single, streamlined chapter, with initial emphasis on the first-order model. More complex models (e.g., interaction, quadratic, and dummy variable models) are presented in increasing order of difficulty. Coverage of residual analysis (Section 11.13) is expanded to include treatment of heteroscedastic errors.

Exploring DatawithStatistical Computer Software and the Graphing Calculator—Throughout the text, computer printouts from four popular Windows-based statistical software packages (SAS, SPSS, MINITAB, STATISTIX) are displayed and used to make decisions about the data. New to this edition, we have included instruction boxes and output for the TI-83 graphing calculator.

Statistics in Action—One or two features per chapter examine current real-life, high-profile issues. Data from the study is presented for analysis. Questions prompt the students to form their own conclusions and to think through the statistical issues involved.

Real-World Business Cases—Six extensive business problem-solving cases, with real data and assignments. Each case serves as a good capstone and review of the material that has preceded it.

Real-Data Exercises—Almost all the exercises in the text employ the use of current real data taken from a wide variety of publications (e.g., newspapers, magazines, and journals).

Quick Review—Each chapter ends with a list of key terms and formulas, with reference to the page number where they first appear.

Language Lab—Following the Quick Review is a pronunciation guide for Greek letters and other special terms. Usage notes are also provided.

TRADITIONAL STRENGTHS

We have maintained the features of Statistics for Business and Economics that we believe make it unique among business statistics texts. These features, which assist the student in achieving an overview of statistics and an understanding of its relevance in the business world and in everyday life, are as follows:

The Use of Examples as a Teaching Device

Almost all new ideas are introduced and illustrated by real data-based applications and examples. We believe that students better understand definitions, generalizations, and abstractions after seeing an application.

Many Exercises—Labeled by Type

The text includes more than 1,400 exercises illustrated by applications in almost all areas of research. Because many students have trouble learning the mechanics of statistical techniques when problems are couched in terms of realistic applications, all exercise sections are divided into two parts:

  • Learning the Mechanics. Designed as straightforward applications of new concepts, these exercises allow students to test their ability to comprehend a concept or a definition.


  • Applying the Concepts. Based on applications taken from a wide variety of journals, newspapers, and other sources, these exercises develop the student's skills to comprehend real-world problems and describe situations to which the techniques may be applied.

A Choice in Level of Coverage of Probability (Chapter 3)

One of the most troublesome aspects of an introductory statistics course is the study of probability. Probability poses a challenge for instructors because they must decide on the level of presentation, and students find it a difficult subject to comprehend. We believe that one cause for these problems is the mixture of probability and counting rules that occurs in most introductory texts. We have included the counting rules in a separate and optional section at the end of the chapter on probability. In addition, all exercises that require the use of counting rules are marked with an asterisk (*). Thus, the instructor can control the level of coverage of probability.

Extensive Coverage of Multiple Regression Analysis
and Model Building (Chapter 11)

This topic represents one of the most useful statistical tools for the solution of applied problems. Although an entire text could be devoted to regression modeling, we believe we have presented coverage that is understandable, usable, and much more comprehensive than the presentations in other introductory statistics texts.

We devote three chapters to discussing the major types of inferences that can be derived from a regression analysis, showing how these results appear in computer printouts and, most important, selecting multiple regression models to be used in an analysis. Thus, the instructor has the choice of a one-chapter coverage of simple regression, a two-chapter treatment of simple and multiple regression, or a complete three-chapter coverage of simple regression, multiple regression, and model building. This extensive coverage of such useful statistical tools will provide added evidence to the student of the relevance of statistics to the solution of applied problems.

Footnotes

Although the text is designed for students with a non-calculus background, footnotes explain the role of calculus in various derivations. Footnotes are also used to inform the student about some of the theory underlying certain results. The footnotes allow additional flexibility in the mathematical and theoretical level at which the material is presented.

SUPPLEMENTS FOR THE INSTRUCTOR

The supplements for the eighth edition have been completely revised to reflect the revisions of the text. To ensure adherence to the approaches presented in the main text, each element in the package has been accuracy checked for clarity, and freedom from computational, typographical, and statistical errors.

Annotated Instructor's Edition (AIE) (ISBN 0-13-027985-4)

Marginal notes placed next to discussions of essential teaching concepts include:

  • Teaching Tips—suggest alternative presentations or point out common student errors
  • Exercises—reference specific section and chapter exercises that reinforce the concept
  • A disk icon identifies data sets and file names of material found on the data disks
  • Short Answers—section and chapter exercise answers are provided next to the selected exercises

Instructor's Notes by Mark Dummeldinger (ISBN 0-13-027410-0)

This printed resource contains suggestions for using the questions at the end of the Statistics in Action boxes as the basis for class discussion on statistical ethics and other current issues, solutions to the Real-World Cases, a complete short answer book with letter of permission to duplicate for student use, and many of the exercises and solutions that were removed from previous editions of this text.

Instructor's Solutions Manual by Nancy S. Boudreau
(ISBN 0-13-027421-6)

Solutions to all of the even-numbered exercises are given in this manual. Careful attention has been paid to ensure that all methods of solution and notation are consistent with those used in the core text. Solutions to the odd-numbered exercises are found in the Student's Solutions Manual.

Test Bank by Mark Dummeldinger (ISBN 0-13-027419-4)

Entirely rewritten, the Test Bank now includes more than 1,000 problems that correlate to problems presented in the text.

Test Gen EQ

  • Menu-driven random test system
  • Networkable for administering tests and capturing grades online
  • Edit and add your own questions—or use the new "Function Plotter" to create a nearly unlimited number of tests and drill worksheets

PowerPoint Presentation Disk by Mark Dummeldinger
(ISBN 0-13027365-1)

This versatile Windows-based tool may be used by professors in a number of different ways:

  • Slide show in an electronic classroom
  • Printed and used as transparency masters
  • Printed copies may be distributed to students as a convenient note-taking device

Included on the software disk are learning objectives, thinking challenges, concept presentation slides, and examples with worked-out solutions. The PowerPoint Presentation Disk may be downloaded from the FTP site found at the McClave Web site.

Data Disk—available free with every text purchased from Prentice Hall

The data sets for all exercises and cases are available on a 3 1/2" diskette in ASCII format in the back of the book. When a given data set is referenced, a disk symbol and the file name will appear in the text near the exercise.

McClave Internet Site (...

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Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

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