Statistical data analysis is the backbone of sound business decision making, and finding the right tool to analyse a particular business problem is the key. By 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 seventh Australian and New Zealand edition of Business Statistics Abridged 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 Abridged emphasises 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 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. Completely up-to-date, the seventh edition offers comprehensive coverage, current examples and an increased focus on applications in the real world.
Chapter 1 What is statistics?
Chapter 2 Types of data, data collection and sampling
PART 1: Descriptive measures and probability
Chapter 3 Graphical descriptive techniques – Nominal data
Chapter 4 Graphical descriptive techniques – Numerical data
Chapter 5 Numerical descriptive measures
Chapter 6 Probability
Chapter 7 Random variables and discrete probability distributions
Chapter 8 Continuous probability distributions
PART 2: Statistical interference
Chapter 9 Statistical interference and sampling distributions
Chapter 10 Estimation: Describing a single population
Chapter 11 Estimation: Comparing two populations
Chapter 12 Hypothesis testing: Describing a single population
Chapter 13 Hypothesis testing: Comparing two populations
Chapter 14 Additional tests for nominal data: Chi-squared tests
Chapter 15 Simple linear regression and correlation
Chapter 16 Multiple regression
PART 3: Applications
Chapter 17 Time series analysis and forecasting
Chapter 18 Index numbers
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Eliyathamby A Selvanathan
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.
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Saroja Selvanathan
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.
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Gerald Keller
Gerald Keller is emeritus professor of business at Wilfrid Laurier University, where he taught statistics, management science and operations management from 1974 to 2011.
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Now featuring online formulae sheets and Excel estimator workbooks
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Updated throughout with the latest research and examples
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Large number of digital resources to assist with delivery of material
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Increased focus on applications in the real world
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CourseMate provides enhanced revision tools: cases and scenarios, and the data sets, applets and solutions to self-tests
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