Business Statistics Abridged: Australia and New Zealand
Cengage Australia (Verlag)
978-0-17-043954-1 (ISBN)
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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.
Selva Selvanathan 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 Bucharest (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. Gerald Keller is emeritus professor of business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011. 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.
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
Erscheinungsdatum | 16.01.2021 |
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Sprache | englisch |
Maße | 210 x 275 mm |
Gewicht | 1700 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
ISBN-10 | 0-17-043954-2 / 0170439542 |
ISBN-13 | 978-0-17-043954-1 / 9780170439541 |
Zustand | Neuware |
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