AP Statistics 1-Month Study Plan

title: "AP Statistics 1-Month Study Plan" description: "A complete 4-week AP Statistics study plan: weekly topic breakdown, mixed practice, FRQ work, calculator drills, and a final-week timed mock." date: "2026-01-15" examDate: "May AP Exam" topics:

• Exploring Data
• Sampling and Experimentation
• Probability and Random Variables
• Sampling Distributions
• Inference for Proportions
• Inference for Means
• Chi-Square and Regression

A month of focused, structured prep is more than enough to earn a 4 or 5 on the AP Statistics exam — even if your in-class grade is shaky. This plan assumes ~1 hour per weekday and ~2-3 hours on each weekend day.

If you need to compress: see our 7-day cram plan or 3-day cram plan.

Week 1: Data Exploration + Sampling and Experiments

Goal: Master the descriptive statistics and study design vocabulary that show up on every FRQ.

| Day | Focus | Output | |---|---|---| | Mon | Diagnostic: take 25-question MCQ pretest | List your 5 weakest topics | | Tue | Univariate displays + 5-number summary, IQR, outlier rule | 12 problems | | Wed | Center, spread, comparisons, transformations of data | 10 problems | | Thu | Scatterplots, $r$, LSRL, residuals, $r^2$ | 12 problems | | Fri | Sampling methods (SRS, stratified, cluster, systematic), bias | 10 problems | | Sat | Experiments vs observational studies, confounding, blocking, blinding | 12 problems + 1 study design FRQ | | Sun | Mixed practice + review missed problems | 20 MCQs |

Internal link: AP Statistics topic library →.

Week 2: Probability + Random Variables + Sampling Distributions

Goal: Get comfortable with discrete and continuous distributions and the conceptual basis of inference.

| Day | Focus | Output | |---|---|---| | Mon | Probability rules, conditional probability, independence | 12 problems | | Tue | Discrete random variables: $E(X)$, $\\text{Var}(X)$, combining variables | 10 problems | | Wed | Binomial and geometric distributions | 12 problems | | Thu | Normal distribution + normalcdf / invNorm | 10 problems | | Fri | Sampling distribution of $\\hat p$ + Large Counts condition | 10 problems | | Sat | Sampling distribution of $\\bar x$ + Central Limit Theorem | 10 problems + 1 random variables FRQ | | Sun | Mixed Units 3-5 review | 25 MCQs |

💡 The key insight: Sampling distributions are NOT about a single sample's data — they're about the distribution of statistics across many possible samples. This conceptual move is what enables every CI and test.

Week 3: Inference — Confidence Intervals and Significance Tests

Goal: Lock in the 4-step framework and all 8 inference procedures.

| Day | Focus | Output | |---|---|---| | Mon | 1-prop $z$-interval and 1-prop $z$-test | 12 problems | | Tue | 2-prop $z$-interval and 2-prop $z$-test | 10 problems | | Wed | 1-sample $t$-interval and 1-sample $t$-test | 12 problems | | Thu | 2-sample $t$-interval and 2-sample $t$-test | 10 problems | | Fri | Paired $t$-interval and paired $t$-test (when to use which) | 10 problems | | Sat | Type I/II errors + Power | 8 problems + 1 CI FRQ | | Sun | 4-step FRQ practice — write out State, Plan, Do, Conclude verbatim | 2 timed FRQs |

⚠️ FRQ trap: When asked to interpret a confidence interval, NEVER say "the probability the true mean is in this interval is 95%." Instead: "We are 95% confident the true mean is between X and Y [units]." The 95% refers to the procedure, not this specific interval.

Week 4: Chi-Square + Regression Inference + Mock Exam

Goal: Finish the curriculum and build exam stamina.

| Day | Focus | Output | |---|---|---| | Mon | Chi-square goodness-of-fit | 8 problems | | Tue | Chi-square test for independence/homogeneity | 8 problems + 1 chi-square FRQ | | Wed | LinReg $t$-test and CI for slope; reading computer output | 8 problems | | Thu | Mixed multiple-choice mock: 40 MCQs in 90 min | Score and review | | Fri | Full timed FRQ section: 6 FRQs in 90 min | Score with rubric | | Sat | Full timed mock exam (3 hours total) | Honest score | | Sun | Targeted review of weakest mock topics + light FRQ work | Don't cram new material |

Daily habits throughout the month

• Spaced repetition flashcards for inference procedures and conditions — 5 min/day.
• One FRQ per week minimum from a past College Board exam — score with the rubric.
• Track missed problems in a single notebook by topic. Review weekly.

Calculator routine (build into Week 2 onward)

Become fluent with these on your specific calculator (TI-84, TI-Nspire, etc.):

1. normalcdf and invNorm.
2. binomcdf, binompdf, geomcdf.
3. 1-PropZInt, 1-PropZTest, 2-PropZInt, 2-PropZTest.
4. TInterval, T-Test, 2-SampTInt, 2-SampTTest.
5. χ²-Test and χ²GOF-Test.
6. LinRegTTest.
7. Stat → Edit for L1/L2 + 1-Var Stats for summary statistics.

The night before & morning of

• Skim the last-minute review checklist.
• Review the FRQ template phrasings.
• Sleep 8+ hours.
• Eat breakfast with protein and slow carbs.
• Pack: 2 sharpened #2 pencils, blue/black pens, approved calculator, fresh batteries, photo ID.

Final word

A 4-week plan rewards consistency more than intensity. Show up every day, even if it's just 30 minutes. The students who score 5s aren't the ones who pull all-nighters — they're the ones who logged 25 quiet sessions in a row.

Start now: browse AP Statistics topics →.