AP Statistics: Topic Outline
I. Exploring Data: Describing patterns and departures from patterns
A. Constructing and interpreting graphical displays of distributions of univariate data (dotplot, stemplot, histogram, cumulative frequency plot)
B. Summarizing distributions of univartiate data
C. Comparing distributions of univariate data (dotplots, back-to-back stemplots, parallel boxplots)
D. Exploring bivariate data
E. Exploring categorical data
II. Sampling and Experimentation: Planning and conducting a study
A. Overview of methods of data collection
B. Planing and conducting surveys
C. Planning and conducting experiments
D. Generalizability of results and types of conclusions that can be drawn from observational studies, experiments and surveys
III. Anticipating Patterns: Exploring random phenomena using probability and simulation
A. Probability
B. Combining independent random variables
C. The normal distribution
D. Sampling distributions
IV. Statistical Inference: Estimating population parameters and testing hypotheses
A. Estimation (point estimators and confidence intervals)
B. Tests of significance
A. Constructing and interpreting graphical displays of distributions of univariate data (dotplot, stemplot, histogram, cumulative frequency plot)
B. Summarizing distributions of univartiate data
C. Comparing distributions of univariate data (dotplots, back-to-back stemplots, parallel boxplots)
D. Exploring bivariate data
E. Exploring categorical data
II. Sampling and Experimentation: Planning and conducting a study
A. Overview of methods of data collection
B. Planing and conducting surveys
C. Planning and conducting experiments
D. Generalizability of results and types of conclusions that can be drawn from observational studies, experiments and surveys
III. Anticipating Patterns: Exploring random phenomena using probability and simulation
A. Probability
B. Combining independent random variables
C. The normal distribution
D. Sampling distributions
IV. Statistical Inference: Estimating population parameters and testing hypotheses
A. Estimation (point estimators and confidence intervals)
B. Tests of significance