Addison-Wesley / Prentice Hall

Statistics

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Statistics for Business & Economics, 10/E
James T. McClave, InfoTech Inc.
P. George Benson, University of Georgia
Terry Sincich, University of South Florida

ISBN-10: 0132409356
ISBN-13: 9780132409353

Publisher: Prentice Hall
Copyright: 2008
Format: Cloth Bound w/CD-ROM; 944 pp
Published: 03/06/2007

Suggested retail price: $166.67
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.

 

• Over 1000 interesting and diverse applications:

— 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.

 

• Over 1400 exercises:

– Starts with easier, more skill and drill oriented exercises, and progresses to more difficult exercises, requiring critical thinking skills. 

– In addition to "Learning the Mechanics" exercises, "Applied Exercises" are categorized into "Basic", "Intermediate", and "Advanced" at the end of each section. This categorization assists Instructors when making homework assignments.

 

• Over 150 Examples:

— All examples consist of a three step format to provide students with a consistent structure by which to approach problems: (1) Problem; (2) Solution; (3) Look Back. 

—       The "Look Back" feature fosters students' critical thinking skills as they are asked to interpret the solution and/ or reflect upon the situation.

—       Now Work - Each Example, where appropriate, concludes with a "Now Work Exercise XX" reference that directs the student to an end of section exercise that illustrates and reinforces the concept or technique presented in that example.

 

* Activities within each chapter (Optional):

--used to illustrate concepts to students in a "hands on" environment.  These activities can be done in class, or outside of class.

 

* Applets to illustrate statistical concepts:

--Applets are on the textbook CD and illustrate concepts visually, facilitating student understanding.  These applets are also integrated into chapter exercises to reinforce concepts.

 

• Statistics in Action Cases:

– Each chapter begins with a description of an actual, engaging, business case ("Statistics in Action") and the accompanying data. 

– The case is revisited throughout the chapter to demonstrate how to analyze the data and interpret the results ("Statistics in Action Revisited"). 

– Integration of abundant real-world data makes these studies relevant to our lives and to society.

 

• 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.

 

• Chapter Openers that 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.

 

• End-of-Chapter Review

Concludes each chapter with information and many exercises (e.g., flow charts, decision trees, bullet lists) designed to help students check their understanding of the material and study for tests.

 

• Extensive coverage of regression analysis (chapters 10-11).

 

• Flexible Coverage of Probability (chapters 3-4)

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

 

• Statistical Software Tutorials:

– Appear at the end of each chapter and consist of technology tutorials with point-and-click instructions, including screen shots) for EXCEL, MINITAB and SPSS.

– These tutorials provide students with useful information on how best to use and maximize their statistical software.

 

• Statistical Software Printouts:

— These appear at appropriate moments within the chapters, and consist of MINITAB, SPSS and EXCEL (with the PHStat add-ins) output.

— Students are exposed to the computer output they will encounter in the high-tech business world.

 

 

• Profiles of Statisticians in History:

–Boxes (with photo) of a famous statistician and brief description of his/her contributions to the field of statistics.

– These profiles are "optional" but they will help students develop an appreciation of the statistician's efforts and the discipline of statistics as a whole.

 

  • Thorough and extensively revised exercise sets, up to 20% in each chapter

  • Critical Thinking Challenges —at the end of the “Chapter Supplementary Exercises”, students are asked to apply their critical thinking skills to solve one or two challenging real-life business problems.

  • New and updated Statistics in Action –Chapter 1, Chapter 10, Chapter 14

  • "Putting it All Together" Flowcharts and Decision Trees - appear at the end of chapters, where appropriate, to offer a visual depiction of how to choose the appropriate statistical method.  

  • Activities and Applets to Foster Active Learning in the Classroom

    • Approximately 2 activities, within each chapter,  encourage students to collect, summarize and analyze data.  Doing these activities promotes conceptual understanding of statistical concepts.
    • Applets are contained on the textbook CD. They are useful to illustrate concepts in a visual manner.  These applets are also integrated, where appropriate, into exercises within the tex

    Content Changes:

    • Single chapter on Probability Distributions — Discrete, continuous, and sampling distributions (previously Chapters 4-6) are now combined into a single chapter (4) to facilitate reduction in coverage of these topics and provide material appropriate for a one-semester course in business statistics.
    • New sections on Identifying the Target Parameter — added to confidence interval chapter (5) and two-sample inferences chapter (7), to aid students in selecting the appropriate parameter to estimate.
    • Streamlined chapters on Regression — several sections from the previous edition have been combined and streamlined to shorten the simple linear regression chapter (10) and multiple regression chapter (11).
    • Time Series and Nonparametric chapters on CD — to shorten the printed length of the text, the last two chapters (13 and 14) are now made available in pdf format on a CD that accompanies the text and online at the Prentice Hall-McClave web site. 

    Chapter 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

     

    Chapter 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)

     

    Chapter 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

     

    Chapter 4         Random Variables and Probability Distributions

    4.1        Two Types of Random Variables

    4.2        Probability Distributions for Discrete Random Variables

    4.3        The Binomial Random Variable

    4.4        The Poisson Random Variable (Optional)

    4.5        Probability Distributions for Continuous Random Variables

    4.6        The Uniform Distribution (Optional)

    4.7        The Normal Distribution

    4.8        Descriptive Methods for Assessing Normality

    4.9        Approximating a Binomial Distribution with a Normal Distribution (Optional)

    4.10      Sampling Distributions

    4.11      The Sampling Distribution of  and the Central Limit Theorem


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

    Using Technology:  Binomial Probabilities, Normal Probabilities, and Simulated Sampling Distributions using SPSS, MINITAB, and EXCEL/PHStat2

     

    APPLYING STATISTICS TO THE REAL WORLD: THE FURNITURE FIRE CASE (A Case Covering Chapters 3-4)

     

    Chapter 5         Inferences Based on a Single Sample: Estimation with Confidence Intervals

    5.1        Identifying the Target Parameter

    5.2        Large-Sample Confidence Interval for a Population Mean

    5.3        Small-Sample Confidence Interval for a Population Mean

    5.4        Large-Sample Confidence Interval for a Population Proportion

    5.5        Determining the Sample Size

    5.6        Finite Population Correction for Simple Random Sampling (Optional)

    5.7        Sample survey Designs (Optional)

    Statistics in Action: Scallops, Sampling, and the Law

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

     

    Chapter 6         Inferences Based on a Single Sample: Tests of Hypothesis

    6.1        The Elements of a Test of Hypothesis

    6.2        Large-Sample Test of Hypothesis About a Population Mean


    6.3        Observed Significance Levels: p-Values

    6.4        Small-Sample Test of Hypothesis About a Population Mean

    6.5        Large-Sample Test of Hypothesis About a Population Proportion

    6.6        Calculating Type II Error Probabilities: More About β (Optional)

    8.7        Test 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


    Chapter 7         Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses

    7.1        Identifying the Target Parameter

    7.2        Comparing Two Population Means: Independent Sampling

    7.3        Comparing Two Population Means: Paired Difference Experiments

    7.4        Comparing Two Population Proportions: Independent Sampling

    7.5        Determining the Sample Size

    7.6        Comparing 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)

     

    Chapter 8         Analysis of Variance: Comparing More the Two Means

    8.1        Elements of a Designed Experiment

    8.2        The Completely Randomized Design

    8.3        Multiple Comparisons of Means

    8.4        The Randomized Block Design (Optional)

    8.5        Factorial Experiments


    Statistics in Action: The Ethics of Downsizing

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

     

    Chapter 9         The Chi-Square Test and the Analysis of Contingency Tables

    9.1        Categorical Data and the Multinomial Distribution

    9.2        Testing Category Probabilities: One-Way Table

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

    9.4        A 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 8-9)

     

    Chapter 10       Simple Linear Regression

    10.1      Probabilistic Models

    10.2      Fitting the Model: The Least Squares Approach

    10.3      Model Assumptions

    10.4      An Estimator of σ2

    10.5      Making Inferences About the Slope β1

    10.6      The Coefficient of Correlation

    10.7      The Coefficient of Determination

    10.8      Using the Model for Estimation and Prediction

    10.9      A Complete Example

    Statistics in Action: An MBA’s Work-Life Balance

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

     

    Chapter 11       Multiple Regression and ModelBuilding

    11.1      Multiple Regression Models

    11.2      The First-Order Model: Estimating and Interpreting the β-Parameters

    11.3      Inferences About the Individual β Parameters and the Overall Model Utility

    11.4      Using the Model for Estimation and Prediction

    11.5      Model Building: Interaction Models

    11.6      Model Building: Quadratic and other Higher-Order Models

    11.7      Model Building: Qualitative (Dummy) Variable Models

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

    11.9      Model Building: Comparing Nested Models (Optional)

    11.10    Model Building: Stepwise Regression (Optional)

    11.11    Residual Analysis: Checking the Regression Assumptions

    11.12    Some 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 10-11)

     

    Chapter 12       Methods for Quality Improvement

    12.1      Quality, Processes, and Systems

    12.2      Statistical Control

    12.3      The Logic of Control Charts

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


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

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

    12.7      Diagnosing the Causes of Variation (Optional)

    12.8      Capability Analysis (Optional)

    Statistics in Action: Testing Jet Fuel Additive for Safety

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

     

    Chapter 13       Time Series: Descriptive Analyses, Models, and Forecasting (Available on CD)

    13.1      Descriptive Analysis: Index Numbers

    13.2      Descriptive Analysis: Exponential Smoothing

    13.3      Time Series Components

    13.4      Forecasting: Exponential Smoothing

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

    13.6      Measuring Forecast Accuracy: MAD and RMSE

    13.7      Forecasting Trends: Simple Linear Regression

    13.8      Seasonal Regression Models

    13.9      Autocorrelation 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 12-13)

     

    Chapter 14       Nonparametric Statistics (available on CD)

    14.1      Single Population Inferences

    14.2      Comparing Two Populations: Independent Samples

    14.3      Comparing Two Populations: Paired Difference Experiment

    14.4      Comparing Three or More Populations: Completely Randomized Design

    14.5      Comparing Three or More Populations: Randomized Block Design (Optional)

    14.6      Rank Correlation

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

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

     

    Appendix A      Basic Counting Rules

    Appendix B      Tables

    Table I               Random Numbers

    Table II              Binomial Probabilities

    Table III             Poisson Probabilities

    Table IV            Normal Curve Areas

    Table V             Critical Values of t

    Table VI            Critical Values of χ2

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

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

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

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

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

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

    Table XIII           Critical Values of Spearman's Rank Correlation Coefficient

     Appendix C      Calculation Formulas for Analysis of Variance

     

    James T. McClave, Info Tech, Inc./ University of Florida

    P. Goerge Benson, Terry College of Business, University of Georgia

    Terry Sincich, University of South Florida

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      This new edition continues the author’s tradition of cutting-edge statistical pedagogy and seamless integration of technology, and includes hundreds of new exercises with carefully cited data from journals, magazines, newspapers, and Web sites.

       

      Elementary Statistics, Seventh Edition, is the ideal text for instructors who teach a one-semester course and prefer a briefer presentation of topics.


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      URL: http://www.mystatlab.com
      Brief Description

      • Statistical Reasoning for Everyday Life, Third Edition, teaches students how to be better consumers of information by showing the role of statistics in many aspects of everyday life. This text uses real examples and case studies to build an understanding of the core ideas of statistics that can be applied to a variety of subject areas.  The authors include data from real sources to help students become better critical thinkers and decision makers, whether they decide to start a new business, plan for their financial future, or just watch the news.

    • 0321286723Statistical Reasoning for Everyday Life, 3/E
      Bennett, Briggs & Triola
      © 2009 | Addison-Wesley | Paper; 512 pages | Instock
      ISBN-10: 0321286723 | ISBN-13: 9780321286727
      Brief Description | Buy from myPearsonStore

      • The Eleventh Edition of this highly-regarded introductory text emphasizes inference and sound decision-making through its extensive coverage of data collection and analysis. McClave develops statistical thinking and teaches students to properly assess the credibility of inferences–from the vantage point of both the consumer and the producer. This edition incorporates more exercises and more visual features, such as redesigned end-of-chapter summaries and an increased use of applets. This text assumes a mathematical background of basic algebra.

      Datasets and other resources (where applicable) for this book are available here.

       

    • 0132069512Statistics, 11/E
      McClave, Sincich & Mendenhall
      © 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 864 pages | Instock
      ISBN-10: 0132069512 | ISBN-13: 9780132069519
      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.

       

    • 0132409356Statistics for Business & Economics, 10/E
      McClave, Benson & Sincich
      © 2008 | Prentice Hall | Cloth Bound w/CD-ROM; 944 pages | Instock
      ISBN-10: 0132409356 | ISBN-13: 9780132409353
      Brief Description | Buy from myPearsonStore

      • For algebra-based Introductory Statistics Courses.


      This very popular text is written to promote student success while maintaining the statistical integrity of the course. The author draws on his teaching experience and background in statistics and mathematics to achieve this balance. Three fundamental objectives motivate this text: (1) to generate and maintain student interest, thereby promoting student success and confidence; (2) to provide extensive and effective opportunity for student practice; (3) Allowing for flexibility of teaching styles.


      Datasets and other resources (where applicable) for this book are available here.

       

    • 0131871498Statistics: Informed Decisions Using Data, 2/E
      Sullivan
      © 2007 | Prentice Hall | Cloth; 928 pages | Instock
      ISBN-10: 0131871498 | ISBN-13: 9780131871496
      Brief Description | Buy from myPearsonStore

      • For algebra-based Introductory Statistics Courses.

       

      The overarching goal of this text is to empower students to be statistical thinkers

       

      Alan Agresti and Chris Franklin have merged their research expertise, as well as their extensive real-world and teaching experience, to develop a new introductory statistics text that makes students statistically literate, while encouraging them to ask and answer interesting statistical questions. The authors have successfully crafted a text that takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.

       

      The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts.  The applications are topical and current and successfully illustrate the relevance of statistics.

       

      The authors understand that most of the real-world data that students encounter outside the class room are categorical data.  Unlike many texts at this level, Agresti/Franklin incorporates categorical data where appropriate and draws distinctions between theory and practical application of statistical ideas and methods.

       

      The text was written, from the ground up, to embrace and support the 6 recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report - http://www.amstat.org/education/gaise/GAISECollege.htm:

      • Emphasize statistical literacy and develop statistical thinking.
      • Use real data.
      • Stress conceptual understanding rather than mere knowledge of procedures.
      • Foster active learning in the classroom.
      • Use technology for developing  concepts and analyzing data.
      • Use assessment to evaluate and improve student learning.

       

      Comes with a CD containing data sets, additional activities, and applets.  The CD with the IE, furthermore, includes Instructor-to-Instructor videos which further detail, by chapter, the authors approach and provides suggestions on how to present concepts. These Instructor-to-Instructor videos are very complimentary to the IE chapter introductions.

    • 0130083690Statistics: The Art and Science of Learning From Data
      Agresti & Franklin
      © 2007 | Prentice Hall | Cloth; 768 pages | Instock
      ISBN-10: 0130083690 | ISBN-13: 9780130083692
      Brief Description

      • Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.

       

      The varied and data-rich examples and exercises place heavy emphasis on thinking about and understanding statistical concepts. The applications are topical and current, and successfully illustrate the relevance of statistics. The authors believe that it is important for students to be comfortable with analyzing both quantitative and categorical data. Every day in the media, students see and hear percentages and rates being used to summarize opinion polls, outcomes of medical studies, and economic reports. As a result, greater attention is paid to the analysis of proportions than is typical of many introductory statistic texts.


      The text maintains its commitment to the recommendations of the ASA endorsed GAISE (Guidelines for Assessment for Instruction in Statistical Education) Report.


      Datasets and other resources (where applicable) for this book are available here.

       

    • 0135131995Statistics: The Art and Science of Learning from Data, 2/E
      Agresti & Franklin
      © 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 848 pages | Instock
      ISBN-10: 0135131995 | ISBN-13: 9780135131992
      Brief Description | Buy from myPearsonStore

      • Lauded by students and instructors alike for its readability and ease of comprehension, Stats: Data and Models, Second Edition, focuses on statistical thinking and data analysis. The text incorporates compelling examples derived from the authors’ wealth of consulting experience and encourages students to learn how to reason with data. The book is organized into short chapters that focus on one topic at a time and offer instructors maximum flexibility in planning courses.

       

      Written in an approachable style without sacrificing rigor, this newly revised text is appropriate for a one- or two-semester course.  Features include Math Boxes, which present the mathematical underpinnings of the statistical methods and concepts, and advanced topics, such as Analysis of Variance (ANOVA), Multiple Regression, and Nonparametrics.

      Datasets and other resources (where applicable) for this book are available here.
    • 0321433793Stats: Data and Models, 2/E
      De Veaux, Velleman & Bock
      © 2008 | Addison-Wesley | Cloth Bound w/CD-ROM; 800 pages | Instock
      ISBN-10: 0321433793 | ISBN-13: 9780321433794
      Brief Description | Buy from myPearsonStore

      • By leading with practical data analysis and graphics, Stats: Modeling the World gets students “doing statistics” and “thinking statistically” from the start. Students understand what we find in data, why we find it interesting, and how we report it to others as a sound foundation for the challenges of inference. Instructors praise Stats: Modeling the World  as clear and accessible to students, and students report that they enjoy reading the text while learning how to do Statistics with the Think, Show, and Tell rubric and What Can Go Wrong? sections.

       

      Now even easier to read and use, every chapter of this Second Edition features new exercises graded by level of difficulty, Just Checking questions that check students’ understanding of key concepts, and What Have We Learned? sections that summarize the main topics covered in each chapter.


      Datasets and other resources (where applicable) for this book are available here.

       

    • 0321375599Stats: Modeling the World, 2/E
      Bock, Velleman & De Veaux
      © 2007 | Addison-Wesley | Cloth Bound w/CD-ROM; 792 pages | Instock
      ISBN-10: 0321375599 | ISBN-13: 9780321375599
      Brief Description | Buy from myPearsonStore

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