Statistical Methods for Business and Economics

Detailed table of contents

Preface

Guided Tour

Technology to enhance teaching and learning

1 Introduction and basic concepts

Part 1 Descriptive Statistics

2. Tables and graphs

3. Measures of location

4. Measures of variation

5. Pairs of variables

Part 2 Probability

6. Definitions of Probability

7. Calculation of probabilities

8. Probability distribution, expectation, variance

9. Families of discrete distributions

10. Families of continuous distributions

11. Joint probability distributions

Part 3 Sampling theory

12. Random samples

13. The sample mean

14. Sample proportion and other sample statistics

Part 4 Inferential statistics

15. Interval estimation and hypothesis testing: a general introduction

16. Confidence intervals and tests for and

17. Statistical inference about

18. Confidence intervals and tests to compare two parameters

19. Simple linear regression

20. Multiple linear regression: introduction

21. Multiple linear regression: extension

22. Multiple linear regression: model violations

23. Time series and forecasting

24. Chi-squared tests

25. Nonparametric statistics

Appendix A1 Excel and SPSS (on Internet)

Appendix A2 Summation operator ?

Appendix A3 Greek letters

Appendix A4 Tables

Appendix A5 Numeric answers of exercises

This brand new book in statistics aims to provide an introduction to the key methods and techniques essential to a typical statistics syllabus, whilst also helping students to develop the skills needed to analyse, interpret and prepare data for use in business, economics and related disciplines.

Covering the essential methods required at undergraduate level, the book is structured into four parts that deal with descriptive statistics, probability, sample theory and inferential statistics, taking students from the basics through to more advanced topics such as multiple linear regression.

Every chapter contains clear descriptions of each technique, illustrated with numerous worked examples to aid students in understanding how to practice statistical methods. The real data used in the examples is drawn from European sources. The text also contains longer case examples set in a European business context, to show how statistics is used everyday in the business environment. Finally, each chapter concludes with a variety of exercises to test students’ ability to apply the theory and attain a high level of competence in using statistics.

This comprehensive book is ideal for student of statistics at undergraduate level taking an introductory module in the topic.