Introduction PART 1: UNDERSTANDING DATA 1. What is Data (And Should You Lose Any Sleep Over It)? 2. Does Sampling Have A Purpose Other than Providing Employment for Statisticians? 3. Why Should You be Concerned about Measurement and are Some Measures Better than Others? PART 2: PREPARING DATA FOR ANALYSIS 4. Have You Cleaned Your Data and Found the Mistakes You Made? 5. Do You Have Access to a Computer Package or Must You Employ A Computer Whiz-Kid? 6. Why Do You Need to Know Your Objective Before You Fail to Achieve It? 7. Why Not Take it Easy Initially and Describe Your Data? 8. Can You Use Few Numbers in Place of Many to Summarise Your Data? 9. What about Using Estimation to See What the Population Looks Like? PART 3: CARRYING OUT THE ANALYSIS 10. How about Sitting Back and Hypothesising? 11. Simple Things First: One Variable, One Sample 12. Getting Experienced: Making Comparisons 13. Getting Adventurous: Searching for Relationships PART 4: PRESENTING THE ANALYSIS 14. A Look into A Multivariate Future 15. It?s All Over, or Is It? Appendices Index