2. Things that I think are important

3. Chapter 1 Bar graphs, histograms Outliers Mean, median, mode, quartiles of data Variance and standard deviation of data Densities/distributions, skew The Normal distribution and N(0,1) Standardization

4. Chapter 2 Scatterplots Correlation, covariance* Correlation versus causation Regression: Intuition about what a trendline is Not how to calculate it

5. Chapter 3 Sample vs. population Statistics vs. parameters Picking a good sample Importance of eliminating bias Importance of randomization Statistical significance Sampling distributions!

6. Chapter 4

7. Chapter 5 Probability rules Venn diagrams Conditional probability Definition of independence (p. 299) Bayes’ Rule Binomial setting Binomial distribution Normal approximation of Binomial

8. Chapter 6 Confidence intervals as a concept Significance testing as a concept Hypotheses P-values Significance level Power as a concept Calculating power for a test Type I and II errors

9. Chapter 7 Standard error as estimate of standard deviation of sample statistic t-distribution One-sample confidence intervals One-sample t-tests (incl. matched pairs) Two-sample confidence intervals Two-sample t-tests Regular and pooled procedures Ignore Satterwaithe stuff

10. Chapter 8

11. Practice Questions

12. Chapter 1Chapter 2Chapter 3Chapter 4 1.11022.163.1344.126, 127 1.1162.33, 343.1364.130 1.1322.523.1384.140 Chapter 5Chapter 6Chapter 7Chapter 8 5.426.1007.1228.66 5.746.102, 1067.1328.74 5.100, 1026.1047.1368.76 5.1046.1227.1388.92