Description
Cengage India Statistics for Business and Economics 14th Edition by David R Anderson Dennis J Sweeney Thomas A Williams Jeffrey D Camm James J Cochran Michael
This edition delivers sound statistical methodology, a proven problem-scenario approach and meaningful applications that reflect the latest developments in business and statistics today. More than 350 new and proven real business examples, a wealth of practical cases and meaningful hands-on exercises highlight statistics in action. You gain practice using leading professional statistical software with exercises and appendices that walk you through using JMP® Student Edition 14 and Excel® 2016. WebAssign's online course management systems further strengthens this business statistics approach and helps you maximize your course success.
Key Features:
SYSTEMATIC APPROACH EMPHASIZES PROVEN METHODS AND APPLICATIONS. Students first develop a computational foundation and thoroughly master the use of techniques before moving to statistical application and interpretation of the value of techniques. Methods Exercises at the end of each section stress computation and use of formulas, while Application Exercises require students to apply what they know about statistics to real-world problems.
TRUSTED TEAM OF DISTINGUISHED AUTHORS ENSURES THE MOST ACCURATE, PROVEN PRESENTATION. Prominent leaders and active consultants in business and statistics, authors David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry and Jeffrey W. Ohlmann deliver an accurate, real-world presentation of statistical concepts you can trust with every edition.
NEW EXAMPLES INCORPORATE REAL MEANINGFUL DATA. More than 150 new examples and exercises incorporate real data and reference timely sources to bring statistical concepts to life. The authors draw data from sources used by The Wall Street Journal, USA Today, Barron's and other leading publications. Using actual studies and applications, the authors present clear explanations and create exercises that demonstrate the many uses of statistics in business and economics today. In total, this edition provides more than 350 examples and exercises.
UPDATED APPENDICES AND FIGURES HIGHLIGHT TODAY'S LATEST PROFESSIONAL SOFTWARE. All step-by-step instructions in this edition's software appendices and all textbook figures featuring software output now reflect Excel 2016, JMP® Student Edition 14, and R (online only). This edition provides important hands-on experience that prepares your students to work with current versions of these two popular software choices for statistical analysis in business today.
NEW COVERAGE OF BIG DATA EQUIPS STUDENTS TO WORK WITH INFORMATION ON A MASSIVE SCALE. This edition provides a solid framework for thinking about big data and its potential ramifications on sampling distributions, confidence intervals and hypothesis testing for means and proportions. This important information on Big Data is presented in separate sections at the ends of Chapters 7, 8 and 9.
WEBASSIGN COURSE MANAGEMENT SOLUTION. WebAssign is the complete teaching tool for Business Statistics. This flexible and fully customizable platform puts powerful tools in your hands. Deploy assignments, instantly assess individual student and class performance, and help your students master the course concepts. With WebAssign’s powerful digital platform and Statistics for Business & Economics' specific content, you can tailor your course with a wide range of assignment settings, add your own questions and content, and access student and course analytics and communication tools.
TEN ALL-NEW CASE PROBLEMS PROVIDE ADDITIONAL OPPORTUNITIES TO PRACTICE SKILLS. The 44 case problems in this edition provide students with the opportunity to put what they’ve learned into action. Students work on more complex problems, analyze larger data sets and prepare managerial reports based on the results of their analyses.
Table of Contents:
Preface.
1. Data and Statistics.
2. Descriptive Statistics: Tabular and Graphical Displays.
3. Descriptive Statistics: Numerical Measures.
4. Introduction to Probability.
5. Discrete Probability Distributions.
6. Continuous Probability Distributions.
7. Sampling and Sampling Distributions.
8. Interval Estimation.
9. Hypothesis Tests.
10. Inference about Means and Proportions with Two Populations.
11. Inferences about Population Variances.
12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit.
13. Experimental Design and Analysis of Variance.
14. Simple Linear Regression.
15. Multiple Regression.
16. Regression Analysis: Model Building.
17. Time Series Analysis and Forecasting.
18. Decision Analysis
19. Nonparametric Methods.
20. Statistical Methods for Quality Control.
21. Index Numbers.
22. Sample Survey (online).
Appendix A. References and Bibliography.
Appendix B. Tables.
Appendix C. Summation Notation.
Appendix D. Solutions to Even–Numbered Exercises (Available Online Only).
Appendix E. Microsoft Excel 2016 and Tools for Statistical Analysis.
Appendix F. Computing p-Values Using JMP and Excel.
Index.