Full-length practice exam modeled on the official College Board AP Statistics exam. 40 multiple-choice questions across all 9 units, plus 6 free-response questions (5 short + 1 investigative task). Calculator and formulas/tables provided throughout.
Section I — Multiple Choice
40 questions · 90 minutes
40 multiple-choice questions across all 9 units (Categorical Data, Quantitative Data, Two-Variable Data, Collecting Data, Probability/RVs, Sampling Distributions, Inference for Proportions, Inference for Means, Chi-Square & Slopes). Calculator allowed.
Section II — Free Response
6 items · 90 minutes
6 free-response questions: Q1–Q5 standard FRQs (~12 min each), plus Q6 INVESTIGATIVE TASK (~25 min, multi-method analysis). Self-graded rubric checklist.
Total time: 3h 0m. Each section has its own timer; sections are completed back-to-back. Free-response sections use a self-grading rubric checklist after you write your response.
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This full-length practice exam mirrors the real test’s sections, timing, and question mix so you can rehearse pacing and stamina before exam day. Every question is scored instantly with an explanation, and your results feed into your score prediction. For the most realistic read on where you stand, take it in one timed sitting.
AP Statistics is equivalent to a one-semester, introductory, non-calculus-based college statistics course. The curriculum is organized around four major themes: exploring and describing data, designing studies and collecting data (sampling and experiments), anticipating patterns through probability and probability distributions, and statistical inference through confidence intervals and significance tests. Unlike most math courses, AP Statistics rewards clear written communication far more than computation. Students are expected to interpret results in context, state and check the conditions for inference procedures, and explain what a confidence interval or p-value actually means in plain language. The exam's free-response section is where this matters most: vague or templated answers lose credit, and graders look for responses that connect statistical reasoning to the specific scenario. The course also emphasizes the logic of experimental design—randomization, control, replication, and the crucial distinction between observational studies (which cannot establish causation) and experiments (which can). Common difficulties include confusing the conditions for different inference procedures, misinterpreting probability, and writing conclusions that fail to address the original question. Because much of the computation can be handled by a graphing calculator, success depends on choosing the correct procedure, verifying assumptions, and communicating conclusions precisely. The capstone Investigative Task asks students to extend familiar ideas to an unfamiliar situation, testing genuine statistical thinking rather than memorized formulas. Strong preparation pairs vocabulary precision—sampling distribution versus population distribution, Type I versus Type II error—with extensive practice writing full inference responses that name the procedure, check conditions, compute, and interpret in context.
Two equally weighted sections totaling 3 hours: Section I is 40 multiple-choice questions in 1 hour 30 minutes (50%), and Section II is 6 free-response questions in 1 hour 30 minutes (50%) consisting of 5 standard questions and one longer Investigative Task. A graphing calculator is allowed throughout.
Multiple-choice points and rubric-scored free-response points (standard FRQs and the higher-value Investigative Task) are combined into a weighted composite converted to a 1-5 AP score, with 3 considered passing.