College Board AP® Statistics
Exam Questions

Describing Variables, Parameters & Statistics, Measures of Center, Measures of Position, Measures of Variability, Tables & Relative Frequency, Grouped Data, Outliers & Resistant Measures, Five-Number Summary & Boxplots, Skewness of Data, Comparing Data using Summary Statistics

Shape of Distributions, Bar Charts & Histograms, Dotplots & Stemplots, Cumulative Graphs, Comparing Univariate Graphs

Properties of Normal Distributions, Standardized z-scores, Comparing Normal Distributions, Finding Proportions from Normal Distributions, Inverse Normal Calculations, Estimating Parameters of Normal Distributions

Two-Way Tables & Relative Frequencies, Bar Graphs & Mosaic Plots

Explanatory & Response Variables, Scatterplots, Association & Correlation Coefficients, Interpolation & Extrapolation using Linear Models, Residuals, The Least-Squares Regression Line, Residual Plots, The Coefficient of Determination, Outliers, High-Leverage & Influential Points, Linearization of Bivariate Data

Introduction to Sampling, Simple Random Sampling (SRS), Random Sampling Methods, Types of Bias, Non-random (Biased) Sampling Methods

Introduction to Experiments, Well-Designed Experiments, Control Groups, Placebos & Blind Experiments, Completely Randomized Design, Randomized Block & Matched Pairs Design

Estimating Probability using Relative Frequency, Probabilities of Single Events, Introduction to Combined Events, Addition Rule & Mutually Exclusive Events, Conditional Probability, Multiplication Rule & Independent Events, Probabilities of Combined Events using Tree Diagrams, Probabilities of Combined Events using the Rules

Probability Distributions for Discrete Random Variables, Cumulative Probability Distributions for Discrete Random Variables, Mean & Standard Deviation of a Discrete Random Variable, Linear Transformations of Random Variables, Linear Combinations of Random Variables

Introduction to Binomial Distributions, Probabilities for Binomial Distributions, Introduction to Geometric Distributions, Probabilities for Geometric Distributions

Introduction to Sampling Distributions, Sampling Distributions for Sample Means, The Central Limit Theorem, Sampling Distributions for Differences in Sample Means, Sampling Distributions for Sample Proportions, Sampling Distributions for Differences in Sample Proportions, Biased & Unbiased Estimators

Tails on a Normal Distribution, Introduction to Hypothesis Testing, Introduction to Confidence Intervals

Hypothesis Tests for Population Proportions, Confidence Intervals for Population Proportions, Hypothesis Tests for Differences in Population Proportions, Confidence Intervals for Differences in Population Proportions

The t-distribution, Hypothesis Tests for Population Means, Confidence Intervals for Population Means, Hypothesis Tests for Differences in Population Means, Confidence Intervals for Differences in Population Means, t-scores versus z-scores, Hypothesis Tests for Differences in Matched Pairs, Confidence Intervals for Differences in Matched Pairs

The Chi-Square Distribution, Hypothesis Tests for Goodness of Fit

Tests for Independence, Tests for Homogeneity

Sampling Distributions for Sample Slopes, Hypothesis Tests for Slopes of Regression Lines, Confidence Intervals for Slopes of Regression Lines

Type I & Type II Errors, Probabilities of Errors, Power of a Test