AP Statistics 2027 · Full test + five-unit question bank
AP Statistics Practice Test 2027
Take a current-format 42-question multiple-choice simulation and four FRQs, or build practice instantly from all five AP Statistics units and all 55 official topics.
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AP Statistics Question Bank
A balanced mix from all five units is shown by default.
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MCQUnit 1 · 1.1DirectMedium
Introducing Statistics: What Can We Learn from Data?
A student says a question is statistical only if it asks for an average. Which response is best?
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Correct answer: D
Statistical questions can ask about proportions, distributions, relationships, or other summaries as long as variability is anticipated.
MCQUnit 2 · 2.1DirectMedium
Tabular and Graphical Representations for the Distributions of Two Categorical Variables
A student is reviewing Topic 2.1, Tabular and Graphical Representations for the Distributions of Two Categorical Variables. Which statement belongs in accurate notes?
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Correct answer: D
Two-way tables and segmented or side-by-side bar charts display the joint distribution of two categorical variables and support comparison of conditional distributions.
MCQUnit 3 · 3.1DirectMedium
Estimators
A student is reviewing Topic 3.1, Estimators. Which statement belongs in accurate notes?
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Correct answer: D
A point estimator is a sample statistic used to estimate a population parameter; good estimators are evaluated for properties such as bias and variability.
MCQUnit 4 · 4.1DirectMedium
Sampling Distributions for Sample Means
A student is reviewing Topic 4.1, Sampling Distributions for Sample Means. Which statement belongs in accurate notes?
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Correct answer: D
For random samples, x̄ has mean μ and standard deviation σ/√n when independence is appropriate; Normal approximation follows from a Normal population or sufficiently large n.
MCQUnit 5 · 5.1DirectMedium
Graphical Representations Between Two Quantitative Variables
Which statement about Graphical Representations Between Two Quantitative Variables is correct?
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Correct answer: D
A scatterplot displays paired quantitative observations and should be described by direction, form, strength, and unusual features.
MCQUnit 1 · 1.2DirectMedium
Variables
A student is reviewing Topic 1.2, Variables. Which statement belongs in accurate notes?
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Correct answer: C
A categorical variable records group membership or labels; a quantitative variable records numerical amounts for which arithmetic has meaning.
MCQUnit 2 · 2.2DirectMedium
Summary Statistics for Two Categorical Variables
Which statement about Summary Statistics for Two Categorical Variables is correct?
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Correct answer: B
Association between two categorical variables is assessed by comparing conditional proportions or conditional distributions across groups.
MCQUnit 3 · 3.2DirectMedium
Sampling Distributions for Sample Proportions
Which statement about Sampling Distributions for Sample Proportions is correct?
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Correct answer: B
For random samples, p̂ has mean p and standard deviation √[p(1−p)/n] when the independence condition is appropriate; Normal approximation requires sufficiently large expected successes and failures.
MCQUnit 4 · 4.2DirectMedium
Constructing a Confidence Interval for a Population Mean or Population Mean Difference
Which statement about Constructing a Confidence Interval for a Population Mean or Population Mean Difference is correct?
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Correct answer: A
When σ is unknown, t intervals use x̄ ± t* s/√n for one mean, or analogous t procedures for paired mean differences.
MCQUnit 5 · 5.2DirectMedium
Correlation
A dataset has correlation r=-0.12. Which description is most appropriate?
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Correct answer: C
r=-0.12 indicates weak negative linear association.
MCQUnit 1 · 1.3DirectMedium
Tabular Representation and Summary Statistics for One Categorical Variable
Which statement about Tabular Representation and Summary Statistics for One Categorical Variable is correct?
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Correct answer: B
For one categorical variable, counts and relative frequencies summarize how observations are distributed across categories.
MCQUnit 2 · 2.3DirectMedium
Estimating Probabilities Using Simulation
A simulation estimates an event probability as 187 successes in 500 repetitions. Give the estimate and explain why more repetitions help.
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Correct answer: A
The estimate is 187/500=0.374. More repetitions reduce simulation-to-simulation variability and stabilize the long-run estimate.
Complete coverage
All 5 Units and 55 Topics
Open a unit to see its topics. Every topic has 42 MCQs, 4 FRQ drills, and 1 quick-response checkpoint.
Unit 1 — Exploring One-Variable Data and Collecting Data13 topicsUnit 2 — Probability, Random Variables, and Probability Distributions12 topicsUnit 3 — Inference for Categorical Data: Proportions15 topicsUnit 4 — Inference for Quantitative Data: Means10 topicsUnit 5 — Regression Analysis5 topics
Section II simulation
4-FRQ AP Statistics Practice Set
Four original 10-point-style practice tasks covering formulation/data collection, analysis/interpretation, inference, and multi-focus reasoning.
Full FRQUnit 1 · 1.13DirectExam
Experimental Design
Full FRQ 1 — Formulate Questions + Collect Data
A school district wants to know whether a new text-message reminder increases the proportion of seniors who submit a financial-aid form by the deadline. The district has 2,400 seniors in 12 high schools.
State an investigative question that identifies the population, explanatory condition, and response.
Describe a randomized experimental design that could compare the reminder with usual communication. Include random assignment and a way to control for school-to-school differences.
Explain what conclusion random assignment permits and what additional feature would be needed to generalize cleanly to all district seniors.
Identify one plausible source of nonresponse or measurement bias if the outcome were collected by a voluntary follow-up survey instead of administrative records.
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2 points: Clear statistical investigative question with population and response.
3 points: Valid randomized design; blocking by school is acceptable and must be described correctly.
2 points: Plausible bias identified and explained in context.
1 point: Communication is precise and uses statistical language without overclaiming.
A strong solution blocks by high school, randomly assigns seniors within each school to reminder or control, uses administrative submission status as the response, and distinguishes causal inference from population generalization.
Full FRQUnit 2 · 2.12DirectExam
Sampling Distributions and the Central Limit Theorem
Full FRQ 2 — Analyze Data + Interpret Results
A transit agency reports that 18% of weekday bus trips arrive more than 5 minutes late. During the study period there are more than 1,000 weekday bus trips, and a simple random sample of 100 trips is selected.
Let X be the number of late buses. State a probability model for X and verify the main conditions.
Find the mean and standard deviation of X.
Let p̂ be the sample proportion late. State the mean and standard deviation of the sampling distribution of p̂.
Explain why the Normal approximation for p̂ is reasonable here and interpret what the sampling-distribution standard deviation means.
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2 points: Binomial model with n=100, p=0.18; fixed n, two outcomes, constant p, and approximate independence justified by the random sample being under 10% of the trip population.
2 points: μX=18 and σX=√[100(.18)(.82)]≈3.842.
2 points: μp̂=.18 and σp̂=√[(.18)(.82)/100]≈.0384.
2 points: Large-count condition np=18 and n(1−p)=82 supports approximate Normality.
2 points: Correct repeated-sampling interpretation of the standard deviation.
X~Binomial(100,.18), with mean 18 and SD about 3.842. The sampling distribution of p̂ is centered at .18 with SD about .0384 and is approximately Normal because expected successes and failures are both at least 10.
Full FRQUnit 3 · 3.13DirectExam
Carrying Out a Test for the Difference Between Two Population Proportions
Full FRQ 3 — Inference
In two independent random samples, 126 of 180 students at School A and 102 of 180 students at School B say they prefer a later start time. Test at α=0.05 whether the population proportions differ.
Define parameters and state H0 and Ha.
Check the conditions for a two-proportion z test.
Calculate the pooled proportion, standard error, and z statistic.
State the p-value approximately and give a contextual conclusion.
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2 points: Parameters defined; H0:pA−pB=0 and Ha:pA−pB≠0.
2 points: Random/independent samples and large-count conditions checked with pooled proportion.
3 points: p̂c=228/360=.6333; SE≈.05080; z≈2.625.
1 point: Two-sided p-value≈.0086.
2 points: Reject H0 at .05; convincing evidence that the population proportions differ.
p̂A=.700, p̂B=.5667, difference=.1333. With pooled p̂=.6333, SE≈.05080 and z≈2.625, the two-sided p-value is about .0087, so reject H0 and conclude the population proportions differ.
Full FRQUnit 5 · 5.5DirectExam
Least-Squares Regression
Full FRQ 4 — Multi-Focus Across Content Areas
A city wants to evaluate a new bus-priority signal system. From a simple random sample of 200 weekday trips, 124 trips using the new system and 96 of 180 comparable trips without it arrived on time. For the sampled trips using the new system, travel time y (minutes) and route distance x (miles) have a fitted line ŷ = 8.4 + 2.6x, and the residual plot shows no clear pattern.
Identify the two population proportions that are relevant for comparing on-time performance, and describe one condition needed for a valid two-proportion inference procedure.
Calculate the observed difference in sample proportions, p̂new − p̂standard, and explain what its sign means in context.
A 95% confidence interval for pnew − pstandard is (0.012, 0.161). Interpret the interval and state whether it provides evidence of a difference in population on-time rates.
For a new-system route of 7 miles with an observed travel time of 29 minutes, calculate the predicted travel time and residual from the regression model.
Explain why the absence of a clear residual pattern supports use of the linear model for trips similar to those sampled, and identify one reason the regression result alone cannot establish that the signal system caused shorter travel times.
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2 points: Correct population parameters and a valid inference condition such as independent/random observations with large-count requirements.
2 points: p̂new=124/200=0.620, p̂standard=96/180≈0.533, difference≈0.087, interpreted as about 8.7 percentage points higher in the sample.
2 points: Correct 95% confidence-interval interpretation for the population difference and evidence of a positive difference because 0 is excluded.
2 points: Residual plot supports linear form over the observed range; causal claims require an appropriate randomized design, not regression association alone.
The sample difference is about 0.087. The 95% interval from 0.012 to 0.161 supports a higher population on-time rate for the new system. For a 7-mile route, predicted travel time is 26.6 minutes and the residual is +2.4 minutes. A patternless residual plot supports the linear form for similar trips, but association in regression does not by itself establish causation.
AP Statistics Practice Test FAQ
How many questions are on the 2027 AP Statistics exam?
The current structure used by this practice page is 42 multiple-choice questions and 4 free-response questions, with 90 minutes for each section.
Can I practice only one unit or topic?
Yes. Leave both menus on All for a mixed bank, choose one unit to restrict the Topic menu, or select a single topic for its full 42-MCQ + 4-FRQ topic bank.
Is this official College Board material?
No. The questions are independently authored practice material organized around the current AP Statistics course framework.