(eBook PDF) Statistics for Business & Economics, Revised 12th Edition – Digital Ebook – Instant Delivery Download
product details:
- ISBN-10 : 128584632X
- ISBN-13 : 978-1285846323
- Author: David R. Anderson, & 1 more
STATISTICS FOR BUSINESS AND ECONOMICS Revised 12e brings together more than twenty-five years of author experience, sound statistical methodology, a proven problem-scenario approach, and meaningful applications to demonstrate how statistical information informs decisions in the business world.Discover how the most trusted approach to statistics today is Simply Powerful with the latest market-leading text from respected authors Anderson/Sweeney/Williams/Camm/Cochran. STATISTICS FOR BUSINESS AND ECONOMICS Revised 12e introduces sound statistical methodology within a strong applications setting. The authors clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. New cases and more than 350 real business examples and memorable exercises, 150 of which are new in this edition, present the latest statistical data and business information. With this book’s comprehensive coverage and unwavering accuracy, you select the topics best for your course, including thorough coverage of the latest versions of MiniTab 16 and Excel 2013, along with StatTools and other leading Excel 2013 statistical add-ins within chapter appendices.
table of contents:
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. Nonparametric Methods.
19. Statistical Methods for Quality Control.
20. Index Numbers.
21. Decision Analysis.
22. Sample Survey (online). 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: Microsoft Excel 2013 and Tools for Statistical Analysis. Appendix F: Computing p-Values Using Minitab and Excel. Index.
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