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AP®︎ Statistics

Meet one of our AP®︎ Statistics content creators

Watch an introduction video2 minutes 25 seconds
Meet one of our writers for AP®︎ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP®︎ Statistics. Today he's hard at work creating new exercises and articles for AP®︎ Statistics.
Learn more

Meet one of our AP®︎ Statistics content creators

Meet one of our writers for AP®︎ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP®︎ Statistics. Today he's hard at work creating new exercises and articles for AP®︎ Statistics.
Learn more
Watch an introduction video2 minutes 25 seconds

Analyzing categorical data

Welcome to AP Statistics: Analyzing categorical dataAnalyzing one categorical variable: Analyzing categorical dataTwo-way tables: Analyzing categorical data
Distributions in two-way tables: Analyzing categorical data

Displaying and describing quantitative data

Frequency tables and dot plots: Displaying and describing quantitative dataHistograms and stem-and-leaf plots: Displaying and describing quantitative dataDescribing and comparing distributions: Displaying and describing quantitative data

Summarizing quantitative data

Measuring center in quantitative data: Summarizing quantitative dataMore on mean and median: Summarizing quantitative dataMeasuring spread in quantitative data: Summarizing quantitative data
More on standard deviation (optional): Summarizing quantitative dataBox and whisker plots: Summarizing quantitative data

Modeling data distributions

Percentiles (cumulative relative frequency): Modeling data distributionsZ-scores: Modeling data distributionsEffects of linear transformations: Modeling data distributions
Density curves: Modeling data distributionsNormal distributions and the empirical rule: Modeling data distributionsNormal distribution calculations: Modeling data distributions

Exploring bivariate numerical data

Making and describing scatterplots: Exploring bivariate numerical dataCorrelation coefficients: Exploring bivariate numerical dataLeast-squares regression equations: Exploring bivariate numerical data
Assessing the fit in least-squares regression: Exploring bivariate numerical data

Study design

Sampling and observational studies: Study designSampling methods: Study designTypes of studies (experimental vs. observational): Study design
Experiments: Study design

Probability

Randomness, probability, and simulation: ProbabilityAddition rule: ProbabilityMultiplication rule: Probability
Conditional probability: Probability

Random variables

Discrete random variables: Random variablesContinuous random variables: Random variablesTransforming random variables: Random variables
Combining random variables: Random variablesBinomial random variables: Random variablesBinomial mean and standard deviation formulas: Random variablesGeometric random variables: Random variables

Sampling distributions

What is a sampling distribution?: Sampling distributionsSampling distribution of a sample proportion: Sampling distributionsSampling distribution of a sample mean: Sampling distributions

Confidence intervals

Introduction to confidence intervals: Confidence intervalsConfidence intervals for proportions: Confidence intervalsConfidence intervals for means: Confidence intervals

Significance tests (hypothesis testing)

The idea of significance tests: Significance tests (hypothesis testing) Error probabilities and power: Significance tests (hypothesis testing) Testing hypotheses about a proportion: Significance tests (hypothesis testing)
Testing hypotheses about a mean: Significance tests (hypothesis testing)

Inference comparing two groups or populations

Confidence intervals for the difference between two proportions: Inference comparing two groups or populationsTesting the difference between two proportions: Inference comparing two groups or populationsConfidence intervals for the difference between two means: Inference comparing two groups or populations
Testing the difference between two means: Inference comparing two groups or populations

Chi-square tests for categorical data

Chi-square goodness-of-fit tests: Chi-square tests for categorical dataChi-square tests for relationships: Chi-square tests for categorical data

More on regression

Inference about slope: More on regressionTransformations to achieve linearity: More on regression

Prepare for the 2019 AP®︎ Statistics Exam

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Prepare for the exam: Prepare for the 2019 AP®︎ Statistics Exam

AP®︎ Statistics Standards mappings

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See how our course content aligns with AP®︎ Statistics Standards: AP®︎ Statistics Standards mappings
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