Part I: Exploring and collecting data: Statistics and variation Data Surveys and sampling Displaying and describing categorical data Displaying and describing quantitative data Correlation and linear regression
Part II: Understanding data and distributions: Randomness and probability Random variables and probability models Sampling distributions and confidence intervals for proportions Testing hypotheses about proportions Confidence intervals and hypothesis tests for means Comparing two groups Inference for counts: chi-square tests
Part III: Building models for decision making: Inference for regression Multiple regression Introduction to data mining.