(Original PDF) Business Statistics Abridged: Australia New Zealand 6rd – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 0170236994
- ISBN-13 : 978-0170236997
- Author: Gerald Keller, Eliyathamby A Selvanathan, Saroja Selvanathan
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. Business Statistics 6e, emphasizes applications over theory. 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. Using a proven three-step Identify-Compute-Interpret (ICI) approach to problem solving, the text teaches you 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; and (3) INTERPRET results in the context of the problem. This unique approach enhances your comprehension and practical skills. The text’s vast assortment of data-driven examples, exercises, and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists, and others use. Learning resources such as CourseMate maximize study time to help you achieve the results you want. Completely up-to-date, the sixth edition offers comprehensive coverage, current examples, and an increased focus on applications in the real world.
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. Chi-squared tests for nominal data
15. Simple linear regression and correlation
16. Multiple regression
Part 3: Applications
17. Time series analysis and forecasting
18. Index numbers
Appendix A: Summary of solutions for selected exercises
Appendix B: Tables
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