AP® Statistics

Exploring One-Variable Data involves understanding data distributions through statistical measures of center, spread, shape, and the identification of features like outliers to make meaningful interpretations.

Exploring Two-Variable Data involves analyzing relationships between two quantitative variables using tools like scatter plots, correlation coefficients, and regression models to understand form, direction, and strength of associations.

Data collection involves selecting valid samples through methods like random sampling or experiments to ensure reliable, unbiased results applicable to wider populations.

Probability, random variables, and probability distributions involve understanding how random events occur, calculating the probabilities of these events, and modeling their outcomes using various statistical tools and methods.

A sampling distribution is a probability distribution of a statistic from many samples drawn from the same population, reflecting variability and allowing inferences about the population parameter.

Inference for categorical data: proportions involves calculating and interpreting confidence intervals and conducting hypothesis tests to make judgments about the population proportion based on sample data.