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Passion-Driven Statistics
Course Summary
01. Introduction
2. Data Sets and Code Books
3. Literature Review
4. Working with Data
5. Data Management
6. Graphing One Variable at a Time
7. Graphing Relationships
8. Hypothesis Testing
9. Analysis of Variance
10. Chi-Square Test of Independence
11. Correlation
12. Moderation
13. The Question of Causation
14. Multivariate Models and Confounding
15. Writing Your Poster Presentation
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