1. Data and Statistics
2. Descriptive Statistics: Tabular and Graphical Presentations
3. Descriptive Statistics: Numerical Measures
4. Introduction to Probability
5. Discrete Probability Distributions
6. Continuous Probability Distributions
7. Sampling and Sampling Distributions
8. Interval Estimation
9. Hypothesis Tests
10. Statistical Inference about Means and Proportions with Two Populations
11. Inferences about Population Variances
12. Tests of Goodness of Fit and Independence
13. Experimental Design and Analysis of Variance
14. Simple Linear Regression
15. Multiple Regression
16. Regression Analysis: Model Building
17. Time Series Analysis and Forecasting
18. Non-Parametric Methods
Appendix A
Appendix B
Glossary
Index

Self-test problems in every chapter help guide and consolidate learning. A range of interesting and appropriate examples sourced from a wide geographical base, particularly the UK, Ireland, continental Europe, South Africa and the Middle East. Maintains style and readability of the US editions, whilst recognizing that the EMEA edition is intended for students in many parts of the world, many of whom do not have English as a first language. Data files available online accompany exercises and examples. Data sets are available in SPSS, MINITAB and EXCEL formats. Examples throughout the book are based on real data and recent reference sources of statistical information. The use of real data helps to generate more student interest in the material and enables the student to learn about both the statistical methodology and its application. Chapter 2 contains a new section on stacked and clustered bar charts. A new section on the geometric mean has been introduced in Chapter 3, focusing on the use of the geometric mean in summarizing growth rates and percentage changes.