[This is an OLD EDITION. To order the new edition please perform a NEW search using the following ISBN: 9780170184816]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 abridged 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.
# This is the only Australian text on the market and contains a large number of local case studies and examples.
# The internal design for the new edition of this text has been updated with the intention of making the book less daunting to students and to better highlight the text?s pedagogy.
# Contains step-by-step instructions and commands, with screen images, to teach students how to use Microsoft® Excel.
# 'Chapter opening example' boxes are included at the start of each chapter to illustrate the use of techniques that will be introduced in the chapter and to give students an overview of the key concepts to be covered. Problems that are presented in the examples are solved within the relevant chapter.
# 'Seeing statistics' boxes direct students to the accompanying student CD-ROM, which provides a visual insight into statistical concepts.
# Presents more than 700 exercises of varying levels of difficulty, including: -'Learning the techniques' exercises that help students learn the arithmetic involved in a specific procedure. -'Applying the techniques' exercises that stress when and why a particular technique is used and how the result assists in the decision-making process. -'Computer exercises' that help students gain hands-on experience in applying the techniques to solve problems using real-world data and Microsoft Excel.
# Microsoft Excel instructions and commands, as well as improved and expanded Data Analysis Plus add-ins for Excel, which allow you to analyse many more types of statistics problems that can be analysed using standard Excel.
# Several Excel workbooks that feature worksheets for confidence interval estimators and test statistics.
Chapter 1 What is statistics?
Part 1: Descriptive measures and probability
Chapter 2 Graphical descriptive methods
Chapter 3 Art and science of graphical presentations
Chapter 4 Numerical descriptive measures
Chapter 5 Probability
Chapter 6 Data collection and sampling
Chapter 7 Random variables and discrete probability distributions
Chapter 8 Continuous probability distributions
Part 2: Statistical inference
Chapter 9 Statistical inference: An introduction
Chapter 10 Sampling distributions
Chapter 11 Estimation: Describing a single population
Chapter 12 Hypothesis testing: Describing a single population
Chapter 13 Additional Tests for nominal data: Chi-squared tests
Chapter 14 Simple linear regression and correlation
Chapter 15 Multiple regression
Part 3: Applications
Chapter 16 Time series analysis and forecasting
Chapter 17 Index numbers
Appendix A: Summary solutions for selected exercises
Appendix B: Solutions to self-correcting exercises
Appendix C: Tables
Index
