Business Statistics: Australia and New Zealand 8th Edition Eliyathamby A. Selvanathan

Business Statistics: Australia and New Zealand – Ebook Instant Download/Delivery ISBN(s): 9780170439527,0170439526

Product details:

• ISBN-10 ‏ : ‎ 0170439526
• ISBN-13 ‏ : ‎ 978-0170439527
• Author(s): Eliyathamby A. Selvanathan, Saroja Selvanathan, Gerald Keller

Business Statistics teaches you skills that you can use throughout your career. It illustrates how vital statistical methods and tools are for today’s managers and analysts, and how to apply them to business problems using real-world data. Statistical data analysis is the backbone of sound business decision making, and finding the right tool to analyse a particular business problem is the key. The book shows you how to analyse data by focusing on the kind of problem you face, the type of data involved and the appropriate technique for solving the problem. It also includes data-driven examples, exercises and cases that cover how marketing managers, financial analysts, accountants, economists and others use statistics. This edition includes the NEW XLStat analysis plugin/tool.

Table contents:

1. What is statistics?
Appendix 1.A: Introduction to Microsoft Excel
2. Type of data, data collection and sampling

Part 1: Descriptive measures and probability
3. Graphical descriptive methods – nominal data
4. Graphical descriptive methods – numerical data
5. Numerical descriptive measures
Appendix 5.A: Summation notation
6. Probability
7. Random variables and discrete probability distributions
8. Continuous probability distributions

Part 2: Statistical inference
9. Statistical inference and sampling distributions
10. Estimation: describing a single population
11. Estimation: comparing two populations
12. Hypothesis testing: single population
Appendix 12.A: Excel instructions
13. Hypothesis testing: comparing two populations
Appendix 13.A: Excel instructions
14. Inference about population variances
15. Analysis of variance
16. Chi-squared tests for nominal data
17. Simple linear regression and correlation
18. Multiple regression
19. Model building
20. Nonparametric techniques
21. Statistical inference: conclusion

Part 3: Applications
22. Time series analysis and forecasting
23. Index numbers
24. Decision analysis – online chapter
Appendix A: Summary of solutions for selected exercises
Appendix B: Tables

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