Grades 10–12 · High School

AP Statistics

Data, inference, and probability — the AP Stats course taught the way the exam asks it.

Length120 minutes · once a week
Tuition$800 / month
Location226 W 79th St, UWS
FormatIn-person · max 6 students
Marcelo Ambrozio, lead math teacher at School of Math

Your teacher

Marcelo Ambrozio

Co-Founder & Lead Math Teacher

MBA · B.S. Applied Mathematics, Northwestern · 20 years coaching MIT, Harvard & Stanford candidates. Meet the team →

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AP Statistics · Grades 10–12

$800 / month — tuition (recurring) · $99 one-time registration (placement test, written diagnostic, learning plan)
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Want to talk first? Call (646) 668-6151 or book a free 30-minute evaluation.

About the course

What students learn

AP Statistics for 10th–12th graders. We cover exploring one- and two-variable data, sampling and experimental design, probability and random variables, and statistical inference (confidence intervals and significance tests). Every class is aligned to the College Board syllabus and finishes with free-response drills graded on the same rubric as the AP exam — including the investigative task.

A typical class

Sample class format · 120 minutes

Every AP Statistics class follows the same structure so students walk in knowing what to expect and walk out with a corrected mini-quiz in hand.

0:00 – 0:30
30 min

Puzzles & Enigmas

Warm-up with logic puzzles, math riddles, and short brain-teaser problems. The point is to switch the brain on without yet introducing today’s topic — students arrive at different focus levels and this 30-minute block evens the room.

0:30 – 1:00
30 min

Subject — concept & guided practice

First half of today’s topic. One AP Stats topic per meeting — exploring data, probability rules, distributions, sampling distributions, or inference. Concept-first: the instructor demonstrates one or two worked examples on real data, then students try guided practice with the teacher walking the table.

1:00 – 1:05
5 min

Brain break

A short break — water, stretch, a quick chat. Five minutes is enough to reset focus without losing the rhythm of the class.

1:05 – 1:30
25 min

Subject — word problems & applications

Second half of the topic, focused on FRQ-style word problems and real-data applications — the place where formulas turn into clear written reasoning. Examples we use: designing a randomized experiment to test a study habit; computing a confidence interval for the proportion of NYC commuters who walk to work; running a two-sample t-test on real classroom score data.

1:30 – 2:00
30 min

Mini-quiz — corrected in class

A short timed mini-quiz on today’s topic, then we correct it together — question by question, out loud, with the right strategy spelled out for each item. Parents get the corrected paper at the end of the session so they know exactly where their child stands.

Syllabus arc

24-class rolling syllabus

Courses are rolling — a student can join at any class and continue without losing the thread. Here’s the full topic arc:

Class1Exploring categorical data — bar charts, two-way tables.
Class2Exploring quantitative data — center, spread, shape.
Class3Boxplots, outliers, and the five-number summary.
Class4Normal distributions and the empirical rule.
Class5Scatterplots and correlation.
Class6Least-squares regression and residuals.
Class7Sampling methods — SRS, stratified, cluster, systematic.
Class8Experimental design — control, randomization, replication.
Class9Probability rules and Venn diagrams.
Class10Conditional probability and independence.
Class11Random variables and expected value.
Class12Binomial and geometric distributions.
Class13Sampling distributions for means and proportions.
Class14Central Limit Theorem.
Class15Confidence intervals for proportions.
Class16Confidence intervals for means.
Class17Significance tests for proportions.
Class18Significance tests for means (one and two samples).
Class19Type I and Type II errors and power.
Class20Chi-square goodness-of-fit tests.
Class21Chi-square tests of independence and homogeneity.
Class22Inference for regression slopes.
Class23Full FRQ practice with rubric scoring.
Class24Investigative task practice and exam strategy.

Frequently asked

Common questions from parents

How large are SOMATH classes?

Every SOMATH class is capped at 6 students. That is the number that lets one teacher see every student's work in real time, correct silent mistakes before they become habits, and pace to the room instead of the average. Larger groups defeat the whole point of small-group teaching, so we hold the cap firmly.

Where do classes meet?

In person at 226 W 79th Street, 1st Floor, New York, NY 10024 — one block from the 79th Street 1 train and a short walk from the B and C at 81st Street. We do not offer online classes; the small-group model relies on shared whiteboard work and in-room feedback.

What is included in registration?

$99 one-time registration covers a placement test, a written diagnostic, and a personalized learning plan delivered within 48 hours. Workbooks, problem sets, and printed practice tests are included at no extra charge. The $99 registration is separate from monthly tuition.

Can we pause or cancel?

Yes. Cancel anytime with 15 days written notice — no long-term contract. Up to 4 weeks of free pause per year to cover travel or family events, and one free make-up per month for a missed class (subject to available seats in another cohort).

Do you offer a free trial or evaluation?

Yes. Every new family starts with a free 30-minute evaluation in our classroom plus a written diagnostic delivered within 48 hours. There is no charge and no commitment — the diagnostic is yours to keep whether you enroll or not. Book at schoolofmath.us/evaluation or call (646) 668-6151.

Is this an AP-exam-focused course or a broader statistics course?

Both. The syllabus covers every topic on the AP Statistics exam — sampling and experimental design, probability, sampling distributions, and inference — with full AP free-response practice in the final classes. Students who are not sitting the exam still get a complete college-prep statistics course.