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Elementary Statistics Using Excel, 3/E
Mario F. Triola, Dutchess Community College

ISBN-10: 0321365135
ISBN-13: 9780321365132

Publisher: Addison-Wesley
Copyright: 2007
Format: Cloth Bound with Disk; 948 pp
Published: 06/19/2006

Suggested retail price: $137.33
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Together we can raise confidence to a new level. Triola's Elementary Statistics Using Excel, Third Edition,  promotes statistical literacy and critical thinking,  using Excel as the key  tool. This book guides students through the concepts behind the calculations, raising confidence in their ability to do statistics.

 

Elementary Statistics Using Excel, Third Edition,is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrative examples, many of which use real data. The text also identifies required assumptions. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel's limitations and alternative approaches to problem-solving. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks.


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

Highlights of the Third Edition:

  • Extensive Excel instruction: Section 1.5 of the text introduces important and basic features of using Excel.  The text also includes 122 Excel displays and instruction so that Excel can be used more effectively.
  • Chapter-opening features: A list of chapter sections previews the chapter for the student; a chapter-opening problem, using real data, then motivates the chapter material; and the first section is a chapter overview that provides a statement of the chapter's objectives.
  • Interpreting Results: Throughout the book there is strong emphasis on interpreting results. Instead of simply obtaining answers, students are asked to make sense of the results and, where appropriate, state a practical conclusion. Worked examples in the text model this approach.
  • Margin Essays: 122 margin essays illustrate uses and abuses of statistics in real, practical, and interesting applications.
  • Technology Icons: Exercises using Excel are clearly identified.
  • Excel Projects: These projects are included among the variety of end-of-chapter features.
  • Interviews: Author-conducted interviews with professional men and women in a variety of fields who use statistics in their day-to-day work appear in every chapter.
  • Data Sets: Appendix B includes 18 large data sets, including 7 that are new.
  • Appendix C: Lists basic functions along with references of key Excel commands.
  • Appendix F Answers: Answers are shown with values found from both Excel and tables.
  • End-of-chapter Features:  

              o        A Chapter Review summarizing the key concepts and topics of the chapter

              o        Statistical Literacy and Critical Thinking exercises

              o        Review Exercises offering practice on the chapter concepts and procedures

              o        Cumulative Review Exercises reinforcing earlier material

              o        From Data to Decision: Critical Thinking capstone problems, Cooperative Group Activities, and Excel   Projects

              o        Internet Projects involving students with Internet data sets and, in some cases, applets

  • Quick-Reference Endpapers: Tables A-2 and A-3 (the normal and t distributions) are reproduced on the front inside cover pages. A symbol table is included at the back of the book for quick and easy reference to key symbols.
  • Installation Instructions: Instructions are provided for installing Excel's Data Analysis add-in. 
  • CD-ROM: Qualified adopters receive a CD-ROM containing the Appendix B data sets in electronic formats for Minitab®, Excel, the TI-83/84 Plus, STATDISK®, SAS, and SPSS; STATDISK (Version 10.0) statistical software; DDXL (Version 2.0), an Excel add-in; and TI-83/84 Programs.   Instructions are provided for installing Excel's Data Analysis add-in on the CD's Read Me files.

  • New!  Top 20 Topics in Statistics are marked in the text by icons that highlight these essential topics.  Additional resources for these concepts are included in MyStatLab
  • New!  Requirement check: When appropriate, solutions begin with a formal check of the requirements that must be verified before a particular method should be used.
  • Statistical Literacy and Critical Thinking: Each exercise section begins with four new exercises that specifically involve statistical literacy and critical thinking. Also, the end of each chapter has another four exercises of this type.
  • New!  There are over 1750 exercises—68 percent of them new!   More exercises use smaller data sets, and many require interpretation of results.
  • Real data: 63% of the exercises use real data.

Chapter 1    Introduction to Statistics   

1-1    Overview   

1-2    Types of Data   

1-3    Critical Thinking    

1-4    Design of Experiments

1-5    Introduction to Excel    

 

Chapter 2    Summarizing and Graphing Data    

2-1    Overview    

2-2    Frequency Distributions    

2-3    Histograms   

2-4    Statistical Graphics    

 

Chapter 3    Statistics for Describing, Exploring, and Comparing Data    

3-1    Overview    

3-2    Measures of Center    

3-3    Measures of Variation   

3-4    Measures of Relative Standing    

3-5    Exploratory Data Analysis (EDA)    

 

Chapter 4    Probability     

4-1    Overview      

4-2    Fundamentals      

4-3    Addition Rule     

4-4    Multiplication Rule: Basics      

4-5    Multiplication Rule: Complements and Conditional Probability    

4-6    Probabilities Through Simulations      

4-7    Counting     

4-8    Bayes’ Theorem (on CD-ROM)

 

Chapter 5    Probability Distributions     

5-1    Overview     

5-2    Random Variables     

5-3    Binomial Probability Distributions     

5-4    Mean, Variance, and Standard Deviation for the Binomial
         Distribution     

5-5    The Poisson Distribution     

 

Chapter 6    Normal Probability Distributions     

6-1    Overview     

6-2    The Standard Normal Distribution     

6-3    Applications of Normal Distributions    

6-4    Sampling Distributions and Estimators     

6-5    The Central Limit Theorem     

6-6    Normal as Approximation to Binomial    

6-7    Assessing Normality     

 

Chapter 7    Estimates and Sample Sizes      

7-1    Overview      

7-2    Estimating a Population Proportion     

7-3    Estimating a Population Mean: δ Known     

7-4    Estimating a Population Mean: δ Not Known    

7-5    Estimating a Population Variance      

 

Chapter 8    Hypothesis Testing     

8-1    Overview     

8-2    Basics of Hypothesis Testing     

8-3    Testing a Claim about a Proportion     

8-4    Testing a Claim about a Mean: δ Known    

8-5    Testing a Claim about a Mean: δ Not Known    

8-6    Testing a Claim about Variation     

 

Chapter 9    Inferences from Two Samples     

9-1    Overview      

9-2    Inferences about Two Proportions      

9-3    Inferences about Two Means: Independent Samples     

9-4    Inferences from Matched Pairs      

9-5    Comparing Variation in Two Samples     

 

Chapter 10    Correlation and Regression     

10-1    Overview     

10-2    Correlation     

10-3    Regression     

10-4    Variation and Prediction Intervals     

10-5    Multiple Regression     

10-6    Modeling     

 

Chapter 11     Multinomial Experiments and Contingency Tables     

11-1    Overview     

11-2    Multinomial Experiments: Goodness- f-Fit     

11-3    Contingency Tables: Independence and Homogeneity     

11-4    McNemar’s Test for Matched Pairs      

 

Chapter 12    Analysis of Variance     

12-1    Overview      

12-2    One-Way ANOVA     

12-3    Two-Way ANOVA     

 

Chapter 13    Nonparametric Statistics     

13-1    Overview    

13-2    Sign Test     

13-3    Wilcoxon Signed-Ranks Test for Matched Pairs     

13-4    Wilcoxon Rank-Sum Test for Two Independent Samples     

13-5    Kruskal-Wallis Test     

13-6    Rank Correlation     

13-7    Runs Test for Randomness     

 

Chapter 14    Statistical Process Control     

14-1    Overview     

14-2    Control Charts for Variation and Mean     

14-3    Control Charts for Attributes     

 

Chapter 15    Projects, Procedures, Perspectives  

15-1    Projects     

15-2    Procedures      

15-3    Perspectives      

               

Appendices     

Appendix A:  Tables     

Appendix B:  Data Sets     

Appendix C:  Excel References    

Appendix D:  Glossary

Appendix E:  Bibliography    

Appendix F:  Answers to Odd-Numbered Exercises (and All Review
                   Exercises and All Cumulative Review Exercises)    

Credits    

 

 

 

Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty is the author of Essentials of Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the Graphing Calculator, and he is a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom, Marty has been a speaker at many conferences and colleges. His consulting work includes the design of casino slot machines and fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, identifying salary inequities based on gender, analyzing disputed election results, analyzing medical data, and analyzing medical school surveys. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Mario F. Triola a "Texty" for Excellence for his work on Elementary Statistics.

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    Elementary Statistics Using Excel, Third Edition,is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrative examples, many of which use real data. The text also identifies required assumptions. Extensive Excel instructions are provided along with typical displays of results, as well as information about Excel's limitations and alternative approaches to problem-solving. The CD-ROM included with each copy of the book contains: DDXL (Version 2.0), a software add-in that enhances and expands the capability of Excel, and Appendix B data sets in the form of Excel workbooks.


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    • 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.

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    • For algebra-based Introductory Statistics Courses.

     

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    • 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.

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    © 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.

     

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    © 2009 | Prentice Hall | Cloth Bound w/CD-ROM; 848 pages | Instock
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    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.
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    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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