Australian Business Statistics
4th Edition
Published on 17. November 2006
Book
Mixed media product
1312 pages
978-0-17-012284-9 (ISBN)
Description
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, and you will be on the way to becoming a better manager, analyst or economist.
By providing a framework for solving statistical problems, this fourth edition of Australian Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focussing on the relationship between the kind of problem you face, they type of data involved and the appropriate statistical technique for solving the problem.
By providing a framework for solving statistical problems, this fourth edition of Australian Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focussing on the relationship between the kind of problem you face, they type of data involved and the appropriate statistical technique for solving the problem.
More details
Edition
4th edition
Language
English
Place of publication
United Kingdom
Publishing group
Cengage Learning EMEA
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 276 mm
Width: 212 mm
Thickness: 44 mm
Weight
2620 gr
ISBN-13
978-0-17-012284-9 (9780170122849)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Selva is Professor in Econometrics and Applied Statistics in the Griffith Business School and Director of BIntBus Program at Griffith University. He is also a Visiting Professor at the Madras School of Economics, Anna University, Chennai, India. Selva has also taught previously at the University of Jaffna (Sri Lanka), Murdoch University (Australia) and The University of Western Australia (Australia) and University of Queensland (Australia). He has held positions such as the Deputy Dean (Staffing), Faculty of International Business, and Deputy Director of the Statistics and Research Design (STARDS) Unit at Griffith University. Selva was educated at the University of Jaffna, University of Bucurest (Romania), The University of Western Australia and Murdoch University (Australia). He is the recipient of several individual and group Excellence in Teaching Awards and has received numerous of competitive teaching and research grants. Selva has published six research monographs and has published widely in international refereed journals such as Journal of Econometrics, Review of Economics and Statistics, Journal of Business and Economic Statistics, Review of Economics Studies and Marketing Science, and several book chapters.
Currently Selva coordinates the OUA Business Statistics units, which are administered by Griffith Uni. Saroja is Professor in Econometrics in the Department of Accounting, Finance and Economics, Griffith University, a Visiting Professor at the Madras School of Economics, Anna University, Chennai, India, and Research Higher Degrees Convenor, Economics and Business Statistics, at Griffith University. She has also held positions such as Deputy Dean (Research) in the Faculty of Commerce and Administration, the Director of the Statistics and Research Design (STARDS) Unit and the Head of the Economics and Business Statistics Discipline at Griffith University. She has also taught previously at the University of Jaffna (Sri Lanka), Murdoch University (Australia) and The University of Western Australia. Saroja was educated at the University of Jaffna, Murdoch University and The University of Western Australia, and has published several research monographs and research papers in international refereed journals such as the Review of Economics and Statistics, Transportation Research and Economics Letters, and book chapters. Saroja was the recipient of a 2005 Excellence in Teaching Award for innovation across the institution for teaching statistics to postgraduate students.
Currently Selva coordinates the OUA Business Statistics units, which are administered by Griffith Uni. Saroja is Professor in Econometrics in the Department of Accounting, Finance and Economics, Griffith University, a Visiting Professor at the Madras School of Economics, Anna University, Chennai, India, and Research Higher Degrees Convenor, Economics and Business Statistics, at Griffith University. She has also held positions such as Deputy Dean (Research) in the Faculty of Commerce and Administration, the Director of the Statistics and Research Design (STARDS) Unit and the Head of the Economics and Business Statistics Discipline at Griffith University. She has also taught previously at the University of Jaffna (Sri Lanka), Murdoch University (Australia) and The University of Western Australia. Saroja was educated at the University of Jaffna, Murdoch University and The University of Western Australia, and has published several research monographs and research papers in international refereed journals such as the Review of Economics and Statistics, Transportation Research and Economics Letters, and book chapters. Saroja was the recipient of a 2005 Excellence in Teaching Award for innovation across the institution for teaching statistics to postgraduate students.
Content
Part 1: Descriptive Measures and Probability
1. What is statistics?
2. Graphical descriptive methods
3. Art and science of graphical presentations
4. Numerical descriptive measures
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: An Introduction
10. Sampling distributions
11. Estimation: Describing a single population
12. Estimation: Comparing two populations
13. Hypothesis testing: Describing a single population
14. Hypothesis testing: Comparing two populations
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
Chapter 25 Time-series analysis and forecasting
Chapter 26 Index numbers
Chapter 27 Decision analysis
1. What is statistics?
2. Graphical descriptive methods
3. Art and science of graphical presentations
4. Numerical descriptive measures
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: An Introduction
10. Sampling distributions
11. Estimation: Describing a single population
12. Estimation: Comparing two populations
13. Hypothesis testing: Describing a single population
14. Hypothesis testing: Comparing two populations
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
Chapter 25 Time-series analysis and forecasting
Chapter 26 Index numbers
Chapter 27 Decision analysis