Introduction to Statistical Investigations by Nathan Tintle
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1. Significance: How Strong is the Evidence?
2. Generalization: How Broadly do the Results Apply?
3. Estimation: How Large is the Effect
4. Causation: Can We Say What Caused the Effect?
5. Comparing Two proportions
6. Comparing Two Means
7. Paired Data: one Quantitative Variable
8. Comparing More Than Two Groups using proportions
9. Comparing More Than Two Means
10. Two Quantitative Variables
Appendix