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Essentials of Modern Business Statistics

Essentials of Modern Business Statistics

With Microsoft Excel

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams

718 pages, parution le 14/04/2003 (2eme édition)

Résumé

This new edition provides a brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel is integrated throughout the text, showing step-by-step instructions and screen captures to enhance learning. The authors have been writing market-leading business statistics textbooks for over 20 years. This new edition contains the same learning features that have made ASW products best-sellers for years; features such as the problem-scenario approach, and real-world examples that introduce statistical techniques.

Benefits:

• Authorship: Authors are well known, highly regarded and respected in the field.
• NEW! Updated Content: Trendlines are introduced in the discussion of scatter diagrams (Chapter 2).
• NEW! Expanded Content: More material on graphical and tabular descriptive statistics (Chapter 2).
• NEW! Enhanced Treatment: An earlier discussion of the term margin of error and additional information on when to use z and when to use t for interval estimation and hypothesis testing (Chapters 8 though 11).
• NEW! Redesigned Worksheets: Many worksheets have been redesigned to facilitate their use as templates for similar problems (Chapters 8 through 11).
• NEW! Stronger Emphasis: More emphasis on computing and interpreting p-values (Chapter 9 through 11).
• NEW! New Chapter: A new chapter on multiple regression (Chapter 13) has been added.
• Complete Integration of Microsoft Excel Coverage: This edition uses the latest version of Microsoft Excel to perform statistical analyses. Step-by-step instructions and screen captures are included throughout the text.
• Problem-Scenario Approach: The discussion and development of each technique is presented in an application setting, with the statistical results providing insights to decisions and solutions to problems.
• Fantastic Examples and Exercises: The authors have always been known for their excellent problems. More real data examples and exercises have been added to this edition. The use of real data enables students to learn not only about statistical methodology, but also the application.
• Methods and Applications Exercises: The end-of-section exercises are split into these two problem categories. The "Methods" exercises require students to use the formulas and make the necessary computations. The "Applications" exercises require students to use the chapter material in real-world situations.
• Notes and Comments: This feature is designed to give the student additional insights about the statistical methodology and its application. The feature includes warnings or limitations about the statistical methodology, recommendations for application, and other matters.
• Self-Test Exercises: Completely worked-out solutions for certain exercises are provided in an appendix at the end of the book. Students can attempt the self-test exercises and immediately check the solution to evaluate their understanding of the concepts presented in each chapter.
• Chapter-Ending Computer Cases: Cases that emphasize managerial use and interpretation of statistics are included.
• NEW! Updated Content: An expanded discussion of levels of measurement for data can be found in Chapter 1.
Contents
  • Chapter 1 Data and Statistics
  • Chapter 2 Descriptive Statistics: Tabular and Graphical Methods
  • Chapter 3 Descriptive Statistics: Numerical Methods
  • Chapter 4 Introduction to Probability
  • Chapter 5 Discrete Probability Distributions
  • Chapter 6 Continuous Probability Distributions
  • Chapter 7 Sampling and Sampling Distributions
  • Chapters Interval Estimation
  • Chapter 9 Hypothesis Testing
  • Chapter 10 Comparisons Involving Means
  • Chapter 11 Comparisons Involving Proportions and a Test of Independence
  • Chapter 12 Simple Linear Regression
  • Chapter 13 Multiple Regression
  • Chapter 14 Statistical Methods for Quality Control
  • Appendix A References and Bibliography
  • Appendix B Tables
  • Appendix C Summation Notation
  • Appendix D Self-Test Solutions and Answers to Even-Numbered Exercises
  • Appendix E Using Excel Functions

Caractéristiques techniques

  PAPIER
Éditeur(s) Thomson
Auteur(s) David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Parution 14/04/2003
Édition  2eme édition
Nb. de pages 718
Format 21 x 26
Couverture Relié
Poids 1555g
Intérieur Noir et Blanc
EAN13 9780324184525

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