Business Statistics
Complete Australia/New Zealand Edition with Student Resource Access 12 Months
5th Edition
Published on 11. August 2010
Book
Paperback/Softback
1140 pages
978-0-17-018479-3 (ISBN)
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.
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.
Reviews / Votes
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 IndexMore details
Edition
International Edition
Language
English
Place of publication
United Kingdom
Publishing group
Cengage Learning EMEA
Target group
College/higher education
Dimensions
Height: 275 mm
Width: 210 mm
Thickness: 34 mm
Weight
2180 gr
ISBN-13
978-0-17-018479-3 (9780170184793)
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
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. Gerald Keller is emeritus professor of business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011. 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.
Currently Selva coordinates the OUA Business Statistics units, which are administered by Griffith Uni.
Content
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
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