AP Statistics · COVERAGE & GAPS AP Statistics: Coverage Map & Learning Gaps 2026–27 foundation pilot; editorial topic-level mapping, not official alignment certification
A partial map, not a completion score. Five official units; topic numbers checked against the Fall 2026 CED course-at-a-glance and relevant unit pages. IDs here are local learning targets, not official learning-objective codes. A linked family is partial practice, never evidence of full topic mastery. Expansion adds 48 distinct tasks across data views/design, simulation, model/condition checks, contextual inference and diagnostics. OfficialTopics are topic references; local objective IDs are not official codes.
Mapping describes the available practice, not your mastery or readiness for the exam. Reviewed 2026-10-26.
Frame a variable question Partial practice 2 linked question families · 10 variants. Variants are not separate syllabus objectives.
What still needs work Open-ended investigative-question construction remains limited.
Read and summarize observations Partial practice 10 linked question families · 48 variants. Variants are not separate syllabus objectives.
What still needs work Cumulative relative-frequency plots and extended comparisons combining shape, center and spread remain limited.
Evaluate sampling plans Partial practice 8 linked question families · 36 variants. Variants are not separate syllabus objectives.
What still needs work Frame construction from competing real-world lists, survey ethics and multi-stage nonresponse follow-up are not systematically assessed.
Design comparisons and qualify conclusions Partial practice 5 linked question families · 21 variants. Variants are not separate syllabus objectives.
What still needs work Allocation protocols are introduced; blinding, placebo/control decisions and complex interacting treatments need broader practice.
Choose event operations Partial practice 8 linked question families · 32 variants. Variants are not separate syllabus objectives.
What still needs work Tree diagrams and complete shared-stimulus investigations with several conditional events remain limited.
Interpret random-variable summaries Partial practice 2 linked question families · 8 variants. Variants are not separate syllabus objectives.
What still needs work Support and probability validity checks; larger distributions and SD interpretation need expansion.
Count repeated chance outcomes Partial practice 6 linked question families · 24 variants. Variants are not separate syllabus objectives.
What still needs work General calculator cumulative probabilities for arbitrary n and p and more contextual SD interpretations remain limited.
Standardize and interpret normal areas Partial practice 5 linked question families · 20 variants. Variants are not separate syllabus objectives.
What still needs work CDF values and a z boundary are supplied; independent calculator inverse-normal workflows and model validation remain limited.
Design chance simulations Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Students select mappings and interpret output; complete executable simulation design and model validation remain unassessed.
Explain a limiting sampling shape Partial practice 1 linked question families · 4 variants. Variants are not separate syllabus objectives.
What still needs work One conceptual family checks shape/conditions; quantitative tail-approximation accuracy and dependent-data counterexamples need expansion.
Distinguish estimates and parameters Partial practice 3 linked question families · 13 variants. Variants are not separate syllabus objectives.
What still needs work Only elementary point estimates and bias interpretation; no complete estimation investigation.
Calculate proportion sampling spread Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Condition checks are introduced; contextual sampling-distribution probability problems remain limited.
Construct and explain interval components Partial practice 5 linked question families · 20 variants. Variants are not separate syllabus objectives.
What still needs work Observed counts and interval interpretation are assessed; full intervals calculated from raw observational studies remain limited.
Interpret one-proportion test components Partial practice 8 linked question families · 32 variants. Variants are not separate syllabus objectives.
What still needs work Most test p-values are supplied; full normal-tail calculation and quantitative power planning remain limited.
Carry out two-proportion inference Partial practice 3 linked question families · 12 variants. Variants are not separate syllabus objectives.
What still needs work Pooled estimate, unpooled variance and interval direction are assessed; complete two-proportion test/interval investigations with all conditions remain limited.
Compare a categorical cell with independence Partial practice 6 linked question families · 24 variants. Variants are not separate syllabus objectives.
What still needs work Full statistics from observed-table margins, df and contextual conclusions introduced; calculator tail evaluation and expected-count adequacy across larger tables remain limited.
Calculate mean sampling spread Partial practice 1 linked question families · 4 variants. Variants are not separate syllabus objectives.
What still needs work Shape, finite-population conditions and contextual probability questions need expansion.
Calculate a mean-interval component Partial practice 5 linked question families · 20 variants. Variants are not separate syllabus objectives.
What still needs work Paired design, df, critical-value selection and small-sample conditions introduced; full contextual intervals from raw paired data remain limited.
Calculate a mean test statistic Partial practice 3 linked question families · 12 variants. Variants are not separate syllabus objectives.
What still needs work Raw paired-score differences, sample SD and t statistic introduced; t-tail probabilities and full population-mean investigations remain gaps.
Combine independent estimation uncertainty Partial practice 1 linked question families · 4 variants. Variants are not separate syllabus objectives.
What still needs work Full two-mean interval/test procedure and condition verification remain gaps.
Predict with a fitted model Partial practice 2 linked question families · 8 variants. Variants are not separate syllabus objectives.
What still needs work Prediction domain and intercept limits introduced; authentic multi-predictor comparison is outside this simple-regression pilot.
Read and interpret a signed residual Partial practice 2 linked question families · 8 variants. Variants are not separate syllabus objectives.
What still needs work A curved residual pattern is assessed; construction and comparison of multiple fitted-model residual plots remain limited.
Use regression summaries Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Signed r recovery and leverage/influence distinction introduced; technology-based coefficient fitting and systematic sensitivity analysis remain limited.
Describe bivariate patterns Not yet covered What still needs work Article explanations do not establish scored scatterplot construction, form/strength description or correlation interpretation coverage.
Read a distribution, not just its average Partial practice 4 linked question families · 20 variants. Variants are not separate syllabus objectives.
What still needs work No cumulative relative-frequency construction or extended two-distribution written investigation. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Repair the data-collection design Partial practice 4 linked question families · 20 variants. Variants are not separate syllabus objectives.
What still needs work No systematic nonresponse repair, survey ethics or fully specified blinded experiment task set. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Compare conditional distributions Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work No full linked-table shared-stimulus set or tree-diagram construction. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Build and audit a simulation Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work No student-executed simulation code or validation of a complex chance model. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Check a binomial model before calculating Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Only selected small-n cumulative probabilities; calculator practice with general n and p remains limited. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Move between percentiles and measurements Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Normal areas and z cutoffs supplied; independent inverse-CDF calculator workflows are not taught in full. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Audit the assumptions behind an interval or test Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Conditions assessed separately; complete evidence collection and competing-method comparison remain limited. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Write a defensible population claim Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Most p-values supplied; quantitative power and complete normal-tail test calculations remain limited. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Choose a t procedure from the study design Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Only supplied t critical values; full intervals and tests from raw paired datasets remain limited. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Compare populations with the right uncertainty Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Full two-proportion tests with pooled normal-tail calculations and complete independent-mean inference remain gaps. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Test a categorical association as an investigation Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work Full small-table statistics assessed, but chi-square tail evaluation and large-table condition audits remain limited. No full timed official multi-focus free-response simulation or calibrated mastery inference.
Decide what a fitted line can support Partial practice 4 linked question families · 16 variants. Variants are not separate syllabus objectives.
What still needs work No systematic technology fitting or multiple-model residual comparison; leverage/influence is diagnostic enrichment. No full timed official multi-focus free-response simulation or calibrated mastery inference.