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Choose a pre-built study schedule for AP Statistics covering data exploration, probability, sampling, and inference.
Fast review of exploring data, probability, inference, and regression for students who already have a solid stats foundation.
Balanced study covering all four AP Statistics units — exploring data, sampling, probability, and inference — with regular quizzes and FRQ practice.
Complete AP Statistics preparation with in-depth coverage of all units, extensive FRQ practice, calculator skills, and multiple timed practice exams.
Plans are added to your dashboard Study Planner where you can track progress, check off tasks, and adjust the schedule.
These study plans break exam prep into a day-by-day schedule, with options sized for different timelines — from a full runway down to a final-weeks push. Whichever plan you pick is added to your dashboard planner, where you can check off tasks and adjust the pace as you go. Choose the one that matches the time you actually have.
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.