Build your AP Statistics study plan around a clear baseline, guided practice and useful feedback. Work through the subjects below, review your mistakes and return to a timed test when you are ready.
AP Statistics · Revised May 2027 format and five-unit course. 42 four-choice questions in 90 minutes, a full 10-minute break, then four ten-point free responses sharing 90 minutes. Original simulated data, statistical scenarios, and figures; shared question structures recur across forms. Graphing calculator with statistical capabilities expected in both sections. Writing saves for rubric-guided review. Instructional question families recur across variants; these are not independently equated official exams. Editorial review edition 5: revised questions, explanations and skill coverage. Difficulty is an editorial estimate; recurring families are not independent or psychometrically equated tests. Duplicate-reviewed questions use distinct givens or evidence; shared instructional skills and reasoning families recur.
Start with the default section countdowns for this practice format. Custom pacing lets you shorten or extend section times when working on speed, and your report identifies adjusted timing. Check the exam administrator’s current guidance for official test-day requirements.
Official AP Statistics resources
AP Statistics subjects and lesson topics
Lessons combine a worked example, guided exploration and checked exercises. Required steps must be completed before a lesson counts toward your progress. These are available study topics, not a guarantee of official exam coverage or a score increase.
Unit 1: Exploring One-Variable Data and Collecting Data
Investigative Questions, Variables, and Populations
A statistical investigation starts with a question that anticipates variation and identifies what data could answer it. Define the population, variable, and analysis goal before calculating.
Categorical Tables and Honest Bar Charts
For one categorical variable, summarize how frequently each category occurs. Counts and relative frequencies describe the same data using different scales.
Quantitative Displays and Distribution Descriptions
Choose a display that preserves useful quantitative structure. Describe the distribution’s shape, center, variability, and unusual features with units and context.
Center, Variability, and Changes of Units
Summarize a quantitative variable with measures that fit its distribution. Keep a standard deviation’s units and sample denominator distinct from a variance.
Boxplots, Outliers, and Comparing Groups
A boxplot summarizes position and spread but does not show every distribution feature. Compare groups explicitly using context and a stated quartile convention.
Explore 2 more lessons in this subject in the student workspace.
Unit 2: Probability, Random Variables, and Probability Distributions
Two-Way Tables and Conditional Distributions
Use a two-way table to distinguish joint, marginal, and conditional percentages. The denominator changes when a question restricts the group.
Simulation, Chance Models, and Relative Frequency
A simulation represents a chance process with stated rules. Repeated trials estimate a model probability; they do not automatically validate the model for a real system.
Conditional Probability, Unions, and Independence
Choose a probability rule from the relationship between events. Mutually exclusive means no overlap; independent means conditioning does not change probability.
Discrete Random Variables and Expected Values
A random variable assigns a number to each outcome of a chance process. Its distribution describes possible values and their probabilities, not a list of guaranteed future results.
The Binomial Model and Correct Probability Tails
A binomial variable counts successes in a fixed number of independent, same-probability binary trials. Identify the count and tail before entering a calculator command.
Explore 2 more lessons in this subject in the student workspace.
Unit 3: Inference for Categorical Data: Proportions
Estimators and Sampling Variability of Proportions
Judge an estimator by its repeated-sampling behavior, rather than whether one sample happens to hit the population value. A sample proportion estimates a fixed population proportion.
Confidence Intervals for One Population Proportion
Build an interval from a sample estimate and its uncertainty, then explain which population quantity the interval estimates. Confidence describes the procedure’s long-run coverage.
One-Proportion Tests, Null Models, and p-Values
A hypothesis test measures how surprising the observed statistic would be under a stated population model. Write the claim and choose its direction before using the data.
Type I Error, Type II Error, and Power
A test decision can be wrong because samples vary. Describe errors using the population truth and the decision, then consider the design choices that affect their probabilities.
Two-Proportion Sampling Distributions and Intervals
Estimate a difference in population proportions while keeping the group order fixed. Independent samples contribute two sources of sampling variability.
Explore 3 more lessons in this subject in the student workspace.
Unit 4: Inference for Quantitative Data: Means
Sampling Distributions of Sample Means
Use the population standard deviation to describe repeated sample means, and distinguish that sampling variability from the spread of individual measurements.
One-Mean t Intervals and Their Interpretation
Estimate a population mean with a t interval when the individual population SD is unknown. Degrees of freedom reflect estimation of that SD from sample data.
One-Mean t Tests and Tail Probabilities
Compare a sample mean with a hypothesized population mean using estimated sampling uncertainty. Select the direction of the population claim before calculating the tail.
Matched-Pairs Mean Differences: Intervals and Tests
When the same unit is measured twice or units are meaningfully matched, analyze one difference per pair. Pairing is part of the design, not a choice based on the desired p-value.
Independent Two-Mean Sampling Distributions and Intervals
Keep independent groups separate when estimating their mean difference. Their two estimated variance contributions add inside the standard-error square root.
Explore 1 more lessons in this subject in the student workspace.
Unit 5: Regression Analysis
Scatterplots, Linear Association, and Correlation
Read a relationship between two quantitative variables through its direction, form, strength, and unusual points. Correlation summarizes linear association, not every possible relationship.
Linear Regression Predictions and Coefficient Meaning
A fitted line gives predicted mean response values at explanatory-variable values. Interpret its slope and intercept using the variables’ units and the observed range.
Residuals and Checking a Linear Fit
A residual is an observed response minus its predicted response. A residual plot can reveal systematic structure that a single correlation or fitted line obscures.
Least Squares, Coefficients, and Explained Variation
Connect technology output to the least-squares criterion and the variation summarized by r². Coefficients and explained variation describe the fitted relationship, not a causal percentage.
Exam Readiness Workshops
Calculator Outputs with Statistical Meaning
A calculator evaluates a model you choose. Learn to specify the distribution, event, and units before interpreting its output. The 2027 exam expects a graphing calculator with statistical capabilities in both sections; nongraphing calculators are not permitted. Bluebook provides its built-in Desmos calculator; Alpha opens a separate web practice calculator.
Clear Typed Statistical Responses
Make typed responses readable by defining every symbol and distinguishing population parameters from sample statistics. Plain keyboard notation can communicate a complete argument.
Choose and Justify an Inference Method
Choose inference from the outcome type, study design, and question. Then check the assumptions and connect the result to the population or treatment question.
Plan the Revised AP Statistics Exam
Practice the revised, fully digital May 2027 format with a deliberate plan for both sections. Submitted or timed-out sections close; you cannot return to a completed section during the test. Suggested checkpoints help you monitor pace; they are not additional official timers.
Turn your results into your next study session
Complete a practice test. Set aside the time required by the selected form and submit your answers so the result can be saved.
Review the missed questions. Read the correct choices and explanations. Written responses use the provided review guidance where applicable.
Practice the underlying skill. Choose a lesson from the subjects above. Use available targeted practice and your mistake notebook according to your access.
Plan the next attempt. Your calendar records completed activities, and PDF reports help you review progress over time.
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