Simplifying Statistics for Grad Students contains information about measuring variables, descriptive statistics, graphing techniques, inferential statistics including t-tests, ANOVAs, correlations and regression procedures, and non-parametric statistics such as Chi-square analyses. It also describes hypothesis testing and sampling strategies.
Simplifying Statistics for Grad Students contains information about measuring variables, descriptive statistics, graphing techniques, inferential statistics including t-tests, ANOVAs, correlations and regression procedures, and non-parametric statistics such as Chi-square analyses. It also describes hypothesis testing and sampling strategies.
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
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
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