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Full Description
BUSINESS STATISTICS, 5e, emphasises applications over theory. It illustrates the importance of statistical methods and tools for today's managers and analysts, and how to apply them to business problems using real-world data.
Using a proven three-step approach, students learn how to
(1) IDENTIFY the correct statistical technique - by focusing on the problem objective and data type;
(2) COMPUTE the statistics - doing them by hand and using Excel;
(3) INTERPRET results in the context of the problem.
This unique approach enhances students' comprehension and practical skills.
Students find relevance in a wide variety of exercises and cases. Examples draw on the statistical applications used by marketing managers, financial analysts, accountants, economists, and from throughout the business world.
Many students struggle with statistics. This bestselling textbook provides a robust learning pedagogy to make statistics accessible. Students find the material easy to understand and easy to apply in the business environment.
Contents
1. What is statistics?
Appendix 1.A Instructions for the CD-ROM
Appendix 1.B Introduction to Microsoft Excel
Part 1: Descriptive measures and probability
2. Graphical and tabular descriptive methods
3. Art and science of graphical presentations
4. Numerical descriptive measures
Appendix 4.A Summation notation
5. Probability
6. Data collection and sampling
7. Random variables and discrete probability distributions
8. Continuous probability distributions
Part 2: Statistical inference
9. Statistical inference: Introduction
10. Sampling distributions
11. Estimation: Describing a single population
12. Estimation: Comparing two populations
13. Hypothesis testing: Describing a single population
Appendix 13.A Excel instructions
14. Hypothesis testing: Comparing two populations
Appendix 14.A Excel instructions
15. Inference about population variances
16. Comparing two populations: Nonparametric statistics
17. Statistical Inference: A review of chapters 11-16
18. Analysis of Variance
19. Nonparametric techniques: Comparing two or more populations
20. Additional tests for nominal data: Chi-squared tests
21. Simple linear regression and correlation
22. Multiple regression
23. Model building
24. Statistical inference: Conclusion
Part 3: Applications
25 Time-series analysis and forecasting
26 Index numbers
27 Decision analysis: Online chapter
Appendix A Summary Solutions for Selected Exercises
Appendix B Solutions to Self-correcting exercises
Appendix C Tables
Index
