(eBook PDF) Business Statistics – Abridged: Australia New Zealand, 6th Edition – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 0170236994
- ISBN-13 : 978-0170236997
- Author: Antony Selvanathan (Author), Saroja Selvanathan (Author), Gerald Keller Gerald Keller (Author)
Statistical data analysis is the backbone of sound business decision making. Finding the right tool to analyse a particular business problem is the key to such problem solving. Learning the fundamentals of statistical reasoning and data analysis – you will be on the way to becoming a better manager, analyst or economist. By providing a framework for solving statistical problems, this sixth edition of Australian Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focusing on the relationship between the kind of problem you face, the type of data involved and the appropriate statistical technique for solving the problem.
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 Summation Notation
6. Probability
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 Excel instructions
14. Hypothesis testing: comparing two populations
Appendix 14 Excel instructions
15. Inference about population variances
16. Analysis of Variance
17. Additional tests for nominal data: Chi-squared tests
18. Simple linear regression and correlation
19. Multiple regression
20. Model building
21. Nonparametric techniques
22. Statistical inference: Conclusion
Part 3: Applications
23. Time series analysis and forecasting
24. Index numbers
25. Decision analysis – online chapter
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