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Statistics for Business and Economics, 9/E
James T. McClave, University of Florida
P. George Benson, Terry College of Business, University of Georgia, Athens
Terry Sincich, University of South Florida

ISBN-10: 0130466417
ISBN-13: 9780130466419

Publisher: Prentice Hall
Copyright: 2005
Format: Cloth; 1216 pp
Published: 03/05/2004

This item has been replaced by Statistics for Business & Economics, 10/E.

For a one- or two-term course in business statistics.

Designed for students with a background in basic algebra, this best-selling introduction to business statistics emphasizes inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions. The authors stress 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 the information. Numerous case studies, examples, and exercises all draw on real business situations and recent economic events.

Chapter Openers provide valuable roadmaps.
- Where We've Been quickly reviews how information learned previously applies to the chapter at hand.
- Where We're Going highlights how the chapter topics fit into students' growing understanding of statistics.

Technology—Optional technology boxes appear throughout the text, both in the discussion and the exercises facilitating computer based analysis.
- Includes output from the following software packages: Excel, Minitab, and SPSS.
- Also includes step-by-step instructions on how to use the TI-83 Calculator in a variety of applications.
- Helps students better understand what statistical tools to use, how to apply them and how to interpret the results.
- When computer output appears in examples, the solution explains how to read and interpret the output.

End-of-Chapter Review—Concludes each chapter with information designed to help students check their understanding of the material and study for tests. These resources include:
- Quick Review is a list of key terms and formulas with page number references for easy look up.
- Language Lab helps students learn the language of statistics through pronunciation guides, descriptions of symbols, names, etc.
- Supplementary Exercises review the important topics introduced in the chapter.

Extensive coverage of regression analysis.

Flexible Coverage of Probability—Offers a choice in level of coverage; places counting rules in a separate and optional section at the end of the probability chapter.

Over 1000 interesting and diverse applications, many new to this edition:
- Represents a wide and diverse array of relevant business and decision making applications
- Features unique and sourced data that illustrates the role that business statistics play in decision making.
- Uses real world data to emphasize that statistics is important to understanding the world around us
- Emphasizes the interpretation of real problems and adapts them to standard methods of analysis.

More than 150 clear and interesting examples with solutions:
- Uses a step-by-step approach to reaching the solution with thorough explanations built into each step
- Carefully explains solutions to better prepare students for the end of section exercises.

Thorough and extensively revised exercise sets:
- End-of-Section Exercises are numerous and divided into two parts: Learning the Mechanics (straightforward applications of new concepts) and Applying the Concepts (emphasizing critical thinking skills and requiring the student to apply statistical techniques in solving real-world problems).
- Contains data and information taken from newspaper articles, magazines and journals. Each data set is saved in a file on a CD for the student to analyze using statistical software.
- Includes computer output screens to give the student practice in interpretation of data.

New and updated Statistics in Action:
- Opens each chapter with a Statistics in Action case study that highlights controversial, contemporary issues that involve statistics.
- Revisits and builds upon themes and issues throughout the chapter, using easily identifiable boxes labeled Statistics in Action Revisited
- Integration of abundant real-world data makes these studies relevant to our lives and to society.

Updated Real World Cases:
- Six Business Case Studies use real data to put students in the position of decision maker or consultant. These follow every 2-3 chapters.
- Students must use the information learned in previous chapters to reach a decision and support their arguments about the questions asked.

New and Updated Profiles of Statisticians in History—Marginal essays with photos give a brief description of the contribution and/or achievements of that individual.

1. Statistics, Data, and Statistical Thinking.

1.1 The Science of Statistics

1.2 Types of Statistical Applications

1.3 Fundamental Elements of Statistics

1.4 Processes (Optional)

1.5 Types of Data

1.6 Collecting Data

1.7 The Role of Statistics in Managerial Decision-Making

Statistics in Action: A "20/20" View of Survey Results - Fact or Fiction?

Using Technology: Creating and Listing Data in SPSS, MINITAB, and EXCEL

2. Methods for Describing Sets of Data.

2.1 Describing Qualitative Data

2.2 Graphical Methods for Describing Quantitative Data

2.3 Summation Notation

2.4 Numerical Measures of Central Tendency

2.5 Numerical Measures of Variability

2.6 Interpreting the Standard Deviation

2.7 Numerical Measures of Relative Standing

2.8 Methods for Detecting Outliers (Optional)

2.9 Graphing Bivariate Relationships (Optional)

2.10 The Time Series Plot (Optional)

2.11 Distorting the Truth with Descriptive Techniques

Statistics In Action: Characteristics of Physicians who Use or Refuse Ethics Consultation

Using Technology: Describing Data using SPSS, MINITAB, and EXCEL/PHStat2

APPLYING STATISTICS TO THE REAL WORLD: THE KENTUCKY MILK CASE C PART I (A Case Covering 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 Random Sampling

3.8 Bayes' Rule (Optional)

Statistics In Action: Lottery Buster!

Using Technology: Generating a Random Sample Using SPSS, MINITAB, and EXCEL/PHStat2

4. Discrete Random Variables.

4.1 Two Types of Random Variables

4.2 Probability Distributions for Discrete Random Variables

4.3 Expected Values of Discrete Random Variables

4.4 The Binomial Random Variable

4.5 The Poisson Random Variable (Optional)

4.6 The Hypergeometric Random Variable (Optional)

Statistics in Action: Probability in a Reverse Cocaine Sting

Using Technology: Binomial, Poisson, and Hypergeometric Probabilities using SPSS, MINITAB, and EXCEL/PHStat2

5. Continuous Random Variables

5.1Continuous Probability Distributions

5.2The Uniform Distribution (Optional)

5.3The Normal Distribution

5.4Descriptive Methods for Assessing Normality

5.5Approximating a Binomial Distribution with a Normal Distribution

5.6The Exponential Distribution (Optional)

Statistics in Action: Super Weapons Development - Optimizing the Hit Ratio

Using Technology: Cumulative Probabilities and Normal Probability Plots using SPSS, MINITAB, and EXCEL/PHStat2

6. Sampling Distributions

6.1The Concept of Sampling Distributions

6.2Properties of Sampling Distributions: Unbiasedness and Minimum Variance (Optional)

6.3The Sampling Distribution of and the Central Limit Theorem

Statistics in Action: The Insomnia Pill

Using Technology: Simulating a Sampling Distribution using MINITAB and EXCEL/PHStat2

APPLYING STATISTICS TO THE REAL WORLD: THE FURNITURE FIRE CASE (A Case Covering Chapters 3-6)

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

7.1Large-Sample Confidence Interval for a Population Mean

7.2Small-Sample Confidence Interval for a Population Mean

7.3Large-Sample Confidence Interval for a Population Proportion

7.4Determining the Sample Size

7.5Finite Population Correction for Simple Random Sampling (Optional)

7.6Sample survey Designs (Optional)

Statistics in Action: Scallops, Sampling, and the Law

Using Technology: Confidence Intervals using SPSS, MINITAB and EXCEL/PHStat2

8. Inferences Based on a Single Sample: Tests of Hypothesis

8.1The Elements of a Test of Hypothesis

8.2Large-Sample Test of Hypothesis About a Population Mean

8.3Observed Significance Levels: p-Values

8.4Small-Sample Test of Hypothesis About a Population Mean

8.5Large-Sample Test of Hypothesis About a Population Proportion

8.6Calculating Type II Error Probabilities: More About _ (Optional)

8.7Test of Hypothesis About a Population Variance (Optional)

Statistics in Action: Diary of a Kleenex User

Using Technology: Tests of Hypotheses using SPSS, MINITAB and EXCEL/PHStat2

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

9.1Comparing Two Population Means: Independent Sampling

9.2Comparing Two Population Means: Paired Difference Experiments

9.3Comparing Two Population Proportions: Independent Sampling

9.4Determining the Sample Size

9.5Comparing Two Population Variances: Independent Sampling

Statistics in Action: The Effect of Self-Managed Work Teams on Family Life

Using Technology: Two-Sample Inferences using SPSS, MINITAB and EXCEL/PHStat2

APPLYING STATISTICS TO THE REAL WORLD: THE KENTUCKY MILK CASE C PART II (A Case Covering Chapters 7-9)

10. Design of Experiments and Analysis of Variance

10.1Elements of a Designed Experiment

10.2The Completely Randomized Design

10.3Multiple Comparisons of Means

10.4The Randomized Block Design (Optional)

10.5Factorial Experiments

Statistics in Action: The Ethics of Downsizing

Using Technology: Analysis of Variance using SPSS, MINITAB and EXCEL/PHStat2

11. The Chi-Square Test and the Analysis of Contingency Tables

11.1Categorical Data and the Multinomial Distribution

11.2Testing Category Probabilities: One-Way Table

11.3Testing Category Probabilities: Two-Way (Contingency) Table

11.4A Word of Caution About Chi-Square Tests

Statistics in Action: A Study of Coupon Users—Mail versus the Internet

Using Technology: Chi-Square Analyses using SPSS, MINITAB and EXCEL/PHStat2

APPLYING STATISTICS TO THE REAL WORLD: DISCRIMINATION IN THE WORKPLACE (A Case Covering Chapters 10-11)

12. Simple Linear Regression

12.1Probabilistic Models

12.2Fitting the Model: The Least Squares Approach

12.3Model Assumptions

12.4An Estimator of _2

12.5Making Inferences About the Slope _1

12.6The Coefficient of Correlation

12.7The Coefficient of Determination

12.8Using the Model for Estimation and Prediction

12.9A Complete Example

Statistics in Action: Can "Dowsers" Really Detect Water?

Using Technology: Simple Linear Regression using SPSS, MINITAB and EXCEL/PHStat2

13. Multiple Regression and Model Building

13.1Multiple Regression Models

13.2The First-Order Model: Estimating and Interpreting the _-Parameters

13.3Model Assumptions

13.4Inferences About the Individual _ Parameters

13.5Checking the Overall Utility of a Model

13.6Using the Model for Estimation and Prediction

13.7Model Building: Interaction Models

13.8Model Building: Quadratic and other Higher-Order Models

13.9Model Building: Qualitative (Dummy) Variable Models

13.10Model Building: Models with both Quantitative and Qualitative Variables (Optional)

13.11Model Building: Comparing Nested Models (Optional)

13.12Model Building: Stepwise Regression (Optional)

13.13Residual Analysis: Checking the Regression Assumptions

13.14Some Pitfalls: Estimability, Multicollinearity, and Extrapolation

Statistics in Action: Bid-Rigging in the Highway construction Industry

Using Technology: Multiple Regression using SPSS, MINITAB and EXCEL/PHStat2

APPLYING STATISTICS TO THE REAL WORLD: THE CONDO SALES CASE (A Case Covering Chapters 12-13)

14. Methods for Quality Improvement

14.1Quality, Processes, and Systems

14.2Statistical Control

14.3The Logic of Control Charts

14.4A Control Chart for Monitoring the Mean of a Process: The -Chart

14.5A Control Chart for Monitoring the Variation of a Process: The R-Chart

14.6A Control Chart for Monitoring the Proportion of Defectives Generated by a Process: The p-Chart

14.7Diagnosing the Causes of Variation (Optional)

14.8Capability Analysis (Optional)

Statistics in Action: Testing Jet Fuel Additive for Safety

Using Technology: Control Charts using SPSS, MINITAB and EXCEL/PHStat2

15. Time Series: Descriptive Analyses, Models, and Forecasting

15.1Descriptive Analysis: Index Numbers

15.2Descriptive Analysis: Exponential Smoothing

15.3Time Series Components

15.4Forecasting: Exponential Smoothing

15.5Forecasting Trends: The Holt-Winters Model (Optional)

15.6Measuring Forecast Accuracy: MAD and RMSE

15.7Forecasting Trends: Simple Linear Regression

15.8Seasonal Regression Models

15.9Autocorrelation and the Durbin-Watson Test

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

Using Technology: Forecasting using SPSS, MINITAB and EXCEL/PHStat2

APPLYING STATISTICS TO THE REAL WORLD: THE GASKET MANUFACTURING CASE (A Case Covering Chapters 14-15)

16. Nonparametric Statistics

16.1Single Population Inferences: The Sign Test

16.2Comparing Two Populations: The Wilcoxon Rank Sum Test for Independent Samples

16.3Comparing Two Populations: The Wilcoxon Signed Rank Test for the Paired Difference Experiment

16.4The Kruskal-Wallis H-Test for a Completely Randomized Design

16.5The Friedman Fr - Test for a Randomized Block Design (Optional) 16.6Spearman's Rank Correlation Coefficient

Statistics in Action: Deadly Exposure—Agent Orange and Vietnam Vets

Using Technology: Nonparametric Analyses using SPSS, MINITAB and EXCEL/PHStat2

Appendix ABasic Counting Rules

Appendix BTables

Table IRandom Numbers

Table IIBinomial Probabilities

Table IIIPoisson Probabilities

Table IVNormal Curve Areas

Table VExponentials

Table VICritical Values of t

Table VIICritical Values of _2

Table VIIIPercentage Points of the F Distribution, _=.10

Table IX Percentage Points of the F Distribution, _=.05

Table X Percentage Points of the F Distribution, _=.025

Table XI Percentage Points of the F Distribution, _=.01

Table XIICritical Values of TL and TU for the Wilcoxon Rank Sum Test: Independent Samples

Table XIIICritical Values of T0 in the Wilcoxon Paired Difference Signed Rank Test

Table XIVCritical Values of Spearman's Rank Correlation Coefficient

Appendix CCalculation Formulas for Analysis of Variance Short Answers to Selected Odd-Numbered Exercises Index

Intro to Business Statistics - One or Two Term [ONE OR TWO TERM] (Statistics)
Introductory Statistics - Algebra-Based (Statistics)

Statistics for Business & Economics, 10/E
McClave, Benson & Sincich
©2008 | Prentice Hall | Cloth Bound w/CD-ROM; 944 pp | Instock
ISBN-10: 0132409356 | ISBN-13: 9780132409353
Brief Description | Buy from myPearsonStore
For a one- or two-term course in business statistics.

This best-selling introduction stresses the development of statistical thinking — the assessment of credibility and value of the inferences made from data — by both those who consume and those who produce the information. The authors emphasize inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions. Numerous case studies, examples, and exercises draw on real business situations and recent economic events. Assumes a background in basic algebra.

The text incorporates the following American Statistical Association (ASA) guidelines developed from both the Making Statistics More Effective in Schools of Business (MSMESB) conferences and Guidelines for Assessment and Instruction in Statistics Education (GAISE) Project:

Students are most effectively motivated by seeing statistics at work in real applications, problems, cases, and projects.

Students should be provided with the opportunity to work with real data and make use of technology for statistical computations.

Formal training in probability needs to be downplayed in favor of intuitive concepts of probability.

We need to reduce our emphasis on formal theory of statistics and increase emphasis on applications.
Datasets and other resources (where applicable) for this book are available here.

Prentice Hall Math Tutor Center
Prentice Hall
©2005 | Prentice Hall | Access Code Card | Instock
ISBN-10: 0130646040 | ISBN-13: 9780130646040
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Companion Website - McClave, 9/E
McClave
©2005 | Prentice Hall | On-line Supplement; 0 pp | Instock
ISBN-10: 0130466514 | ISBN-13: 9780130466518
URL: http://www.prenhall.com/mcclave

Prentice Hall Math Tutor Center
Prentice Hall
©2005 | Prentice Hall | Access Code Card | Instock
ISBN-10: 0130646040 | ISBN-13: 9780130646040
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Interwrite Personal Response System
EduCue, Addison-Wesley & Benjamin Cummings
©2004 | Prentice Hall | Electronic Supplement | Instock
ISBN-10: 0321267354 | ISBN-13: 9780321267351

For Intro to Business Statistics - One or Two Term

Excel 2007 with DDXL Study Card for Business Statistics
Addison Wesley
©2010 | Prentice Hall | Study Card; 8 pp | Instock
ISBN-10: 0321641914 | ISBN-13: 9780321641915

JMP v.8 Study Card for Business Statistics
Addison Wesley
©2010 | Prentice Hall | Study Card; 6 pp | Instock
ISBN-10: 0321644239 | ISBN-13: 9780321644237

Minitab v. 15 Study Card for Business Statistics
Addison Wesley
©2010 | Prentice Hall | Study Card; 6 pp | Instock
ISBN-10: 0321644212 | ISBN-13: 9780321644213

R Study Card for Business Statistics
Addison Wesley
©2010 | Prentice Hall | Study Card; 8 pp | Instock
ISBN-10: 0321644697 | ISBN-13: 9780321644695

SPSS v. 17 Study Card for Business Statistics
Addison Wesley
©2010 | Prentice Hall | Study Card; 6 pp | Instock
ISBN-10: 0321644220 | ISBN-13: 9780321644220

For Introductory Statistics - Algebra-Based

Excel 2007 with DDXL Study Card for Statistics
Priestly
©2009 | Prentice Hall | Study Card; 6 pp | Instock
ISBN-10: 0321592808 | ISBN-13: 9780321592804

Graphing Calculator Study Card for Statistics
McDonald-Newman
©2009 | Prentice Hall | Study Card | Instock
ISBN-10: 0321570774 | ISBN-13: 9780321570772

JMP v. 6 Study Card for Statistics
Priestly
©2009 | Prentice Hall | Study Card; 6 pp | Instock
ISBN-10: 0321592816 | ISBN-13: 9780321592811

Minitab v. 15 Study Card for Statistics
Priestly
©2010 | Prentice Hall | Study Card | Instock
ISBN-10: 0321592824 | ISBN-13: 9780321592828

R Study Card for Statistics
Reimherr
©2009 | Prentice Hall | Study Card | Instock
ISBN-10: 0321592832 | ISBN-13: 9780321592835

SPSS v. 17 Study Card for Statistics
Priestly
©2009 | Prentice Hall | Study Card | Instock
ISBN-10: 0321589793 | ISBN-13: 9780321589798

Prentice Hall Math Tutor Center
Prentice Hall
©2005 | Prentice Hall | Access Code Card | Instock
ISBN-10: 0130646040 | ISBN-13: 9780130646040
Buy from myPearsonStore

Companion Website - McClave, 9/E
McClave
©2005 | Prentice Hall | On-line Supplement; 0 pp | Instock
ISBN-10: 0130466514 | ISBN-13: 9780130466518
URL: http://www.prenhall.com/mcclave

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