Simplifying Statistics for Graduate Students Making the Use of Data Simple and User-Friendly

Introduction
Chapter 1. Variables and How to Measure Them
Chapter 2. Intelligently Managing Your Data
Chapter 3. Graphing Techniques to Support Your Data
Chapter 4. Means, Medians, and Modes and When to Use Each
Chapter 5. Measuring Variability: An Important Role in Data
Chapter 6. Random Sampling and Other Useful Sampling Strategies
Chapter 7. Stating Hypotheses and Hypothesis Testing
Chapter 8. T-test Procedures
Chapter 9. ANOVA Procedures
Chapter 10. Chi-square Procedures
Chapter 11. Correlation Procedures
Chapter 12. Regression Procedures
Chapter 13. Practical Tips for Graduate Students
About the Authors