Things that I think are important
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
Chapter 2 Scatterplots Correlation, covariance* Correlation versus causation Regression: Intuition about what a trendline is Not how to calculate it
Chapter 3 Sample vs. population Statistics vs. parameters Picking a good sample Importance of eliminating bias Importance of randomization Statistical significance Sampling distributions!
Chapter 4
Chapter 5 Probability rules Venn diagrams Conditional probability Definition of independence (p. 299) Bayes’ Rule Binomial setting Binomial distribution Normal approximation of Binomial
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
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
Chapter 8
Practice Questions
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