Essentials of Statistics for Research

1. Introduction. 2. Data Concepts. 3. The Statistical Law of Gravity (a.k.a the Central Limit Theorem). 4. Using the data: Introducing Hypothesis Tests and Confidence Intervals. 5. How Confidence Intervals and tests play well together (or not). 6. Introduction to Simple Linear Regression. 7. Regression by the Numbers: Making Sense of and Using the Output. 8. Background Reading and a Few New Ideas. 9. The Use of Logarithms in Regression Models. 10. Introduction to Multiple Regression. 11. Multiple Regression Examples. 12. Two Essays on Multiple Regression. 13. Introduction to Logistic Regression. 14. One and Two Sample Methods for Means and Proportions. 15. Relative Inference for Means From Two Samples: Introducing the Bootstrap. 16. A Brief Introduction to ANOVA. 17. Response Feature Analyses for Repeated Measures Data. 18. Epilogue.