AP Statistics · Key concepts
Data analysis · Probability & sampling · Inference & communication — what the rubric is really testing.
days until your AP Stats exam
Thu, May 7 · Afternoon session
Data
Data analysis
Center, spread, shape, outliers
Always describe all four when summarizing a distribution.
Boxplots & histograms
Compare distributions side-by-side using shape, center, spread, outliers.
Correlation vs. causation
Only experiments allow causal claims. r tells you nothing about cause.
Linear regression
ŷ = a + bx. Interpret slope in context. Check residual plot for fit.
Random
Probability & sampling
Sampling methods & bias
SRS, stratified, cluster — name a real bias source for each non-random method.
Conditional probability
P(A|B) = P(A∩B)/P(B). Use a two-way table when stuck.
Central Limit Theorem
Sample means follow Normal distribution if n ≥ 30 — even when population isn't Normal.
Sampling distributions
Standard deviation of sample mean = σ/√n. Bigger n shrinks variability.
Inference
Inference & communication
Hypothesis test structure
State H₀, Hₐ; check conditions; compute; conclude in context.
Check conditions BEFORE computing
Random, 10%, success-failure (or large counts) — name them all.
Confidence intervals
'We are 95% confident the true mean is between X and Y.' Wording is rubric-graded.
Type I & Type II errors
Type I = reject true H₀. Type II = fail to reject false H₀. Know both consequences.
Exam at a glance · 3 hours
40 MCQs · 90 min
Slow on conditions/assumptions.
5 Short FRQs · 65 min
~13 min, clear stat communication.
Investigative Task · 25 min
Largest single FRQ — save time.
FRQs = 50% · of score
Investigative task is heaviest.
Three FRQ habits that separate students who 'get the math right' from students who score it.
Rubric move
Inference FRQs require explicit checks of conditions BEFORE any computation. Skipping this is the most common 4-essay cap.
Weak
z = 1.85, p = 0.064.
Scoring-ready
Conditions: sample is random ✓, n=200 < 10% of population ✓, np=40 and n(1-p)=160 both ≥ 10 ✓. z = 1.85, p = 0.064.
Rubric move
A bare numerical conclusion loses points. The conclusion must reference the original problem variables.
Weak
We reject H₀ at α = 0.05.
Scoring-ready
We reject H₀; there is convincing evidence (p = 0.012) that the average commute time exceeds 30 minutes for this city's workers.
Rubric move
CI interpretation has tight rubric language. 'Probability the true mean is in this interval' is wrong. 'Confident' is right.
Weak
There is a 95% probability the true mean is between 12 and 18.
Scoring-ready
We are 95% confident that the interval from 12 to 18 captures the true mean number of weekly screen-time hours for this population.
Want to see exactly which FRQ row you're losing points on?
Spot the concept
Three mini MCQs from the exam's most common skill areas. Tap to reveal the answer.
Which sampling method best supports generalizing results to a population?
A population has mean μ = 50 and standard deviation σ = 10. A simple random sample of n = 100 is drawn. What is the approximate distribution of the sample mean?
A 95% confidence interval for a population proportion is (0.52, 0.68). Which statement is the most accurate interpretation?
Write one timed FRQ. See exactly where rubric points would slip — while there's still time to fix it.
Inference (Units 6-9, especially proportions and means) carries roughly 40% of the exam and feeds the investigative task. Drill the inference template before any other content.
Save 25 minutes for it. Use the standard structure: identify the method, check conditions, compute, conclude in context. Skipping the conditions step is the most common cap.
Don't write only calculator syntax (e.g., '2-PropZTest(...)'). The rubric requires you to name the procedure, show the formula or relevant values, and write the conclusion in plain English.
40 MCQs. 6 FRQs. The 5 lives in the conditions and conclusion.
Or if you want a schedule.