Expert-authored study guides, inference procedures, and original practice — covering all 9 units of AP Statistics from data exploration to regression inference.
40 questions · 90 minutes · calculator permitted throughout. Five answer choices (drops to four in 2027 revision). No penalty for wrong answers. Covers all 9 units.
Raw score: 1 point per correct answer (max 40), scaled to 50 composite points.
Part A (Q1–5): Five multipart short-response questions, each scored 0–4. Q1 = data collection, Q2 = distributions, Q3 = probability, Q4 = inference, Q5 = combined skills.
Part B (Q6): One investigative task — a nonroutine, multi-part problem integrating multiple units, scored 0–4. Typically the lowest mean score of all six questions.
Formula Sheet Provided
A two-page official reference sheet is provided for the entire exam (both sections). It includes descriptive statistics, probability and distribution formulas, and all inferential statistics formulas. Three tables are also provided: Table A (standard normal), Table B (t-distribution), Table C (chi-square). Students must memorize conditions, test selection criteria, and proper contextual language — these do not appear on the formula sheet.
n = 266,791 · Mean score: 2.92 · 60.3% scored 3 or above
Every inference FRQ — confidence interval or significance test — follows the same four-step rubric. Missing any step costs rubric points even if your calculations are correct.
Name the procedure. Define the parameter(s) in context. State hypotheses ($H_0$ and $H_a$) or describe the interval.
Check all conditions: Random, 10% condition, and Large Counts (proportions) or Normality/CLT (means).
Calculate the test statistic or confidence interval. Show the formula, substitute values, and state the result with units.
Interpret in context. Compare $p$-value to $\alpha$. Use the correct language — never say "the null is true" or "we accept $H_0$."
Students compute the right number but write generic language. AP readers require the parameter to be named in context in every interpretation. "We are 95% confident the true proportion of [specific population] who [specific action] is between [a] and [b]."
Forgetting to check all three conditions (Random, 10%, Large Counts) costs a rubric point per question. Never state "$n \ge 30$" as a blanket rule — you must assess the shape of the population or invoke CLT correctly.
The data collection context — not the numbers — determines the correct test. Two measurements on the same subject = paired $t$. Two separate groups = two-sample $t$. Misidentifying the procedure typically scores a 1 on a 4-point question.
GOF (one sample, one variable vs. a claimed distribution) vs. homogeneity (multiple populations, same variable) vs. independence (one population, two variables). The expected count formula is the same for homogeneity and independence, but hypotheses and study design differ.
Must include "predicted" and "on average": "For each additional [unit] in [X], the predicted [Y] increases by [b], on average." Residual = actual $-$ predicted (observed minus predicted), never the reverse.
Means always add: $\mu_{X \pm Y} = \mu_X \pm \mu_Y$. Variances add only when $X$ and $Y$ are independent: $\sigma^2_{X \pm Y} = \sigma^2_X + \sigma^2_Y$. Never add standard deviations directly.
AP Statistics has the largest archive of any AP STEM exam — approximately 228 FRQ problems spanning 1997–2025, including Form B variants. We index and deep-link only; we never reproduce question text or rehost College Board PDFs.
These appear on the formula sheet. What you must memorize: conditions, correct test selection, and contextual language.
$$\mu_{\bar{x}} = \mu, \quad \sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}$$ $$\mu_{\hat{p}} = p, \quad \sigma_{\hat{p}} = \sqrt{\frac{p(1-p)}{n}}$$
$$z = \frac{\hat{p} - p_0}{\sqrt{\frac{p_0(1-p_0)}{n}}}$$ $$t = \frac{\bar{x} - \mu_0}{s/\sqrt{n}}, \quad df = n-1$$
$$\chi^2 = \sum \frac{(O - E)^2}{E}$$ $$E = \frac{(\text{row total})(\text{col total})}{\text{table total}}$$
Our worked solutions and practice questions are original instructional content created by Tian2 AP. They are aligned to the concepts and skills described in College Board’s Course and Exam Description and are not reproductions of, or affiliated with, College Board’s official materials.