Exploring data, collecting it well, probability, and inference: the reasoning behind every study and poll you'll read.
Exploring One-Variable Data
Describing distributions with graphs and numbers.
Exploring Two-Variable Data
Relationships between variables, correlation, and regression.
Collecting Data
Sampling, bias, and experimental design.
Probability, Random Variables, and Probability Distributions
Chance, random variables, and the binomial and geometric models.
Sampling Distributions
How statistics vary from sample to sample.
Inference for Categorical Data: Proportions
Confidence intervals and significance tests for proportions.
Inference for Quantitative Data: Means
t-procedures for one and two means.
Inference for Categorical Data: Chi-Square
Chi-square tests for distributions and associations.
Inference for Quantitative Data: Slopes
Inference about the slope of a regression line.