Do you use R or Python?

Both. We match your course — R for AP Stats and biostats, Python (numpy/pandas/scipy) for data science tracks.

Statistics tutoring

From the Central Limit Theorem to Bayesian networks.

Statistics is math about uncertainty. We teach it the way it's used — with real data, real distributions, and enough theory that the intuition sticks.

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Levels covered

AP Statistics
Introductory college stats
Probability theory
Bayesian & mathematical statistics

Topics we cover

The full statistics syllabus.

Probability

P(A \cap B) = P(A) \cdot P(B \mid A)

Bayes' theorem

P(A \mid B) = \frac{P(B \mid A) P(A)}{P(B)}

Distributions

X \sim \mathcal{N}(\mu, \sigma^2)

CLT

\bar{X}_n \xrightarrow{d} \mathcal{N}\!\left(\mu, \frac{\sigma^2}{n}\right)

Hypothesis testing

z = \frac{\bar{x} - \mu_0}{\sigma / \sqrt{n}}

Regression

\hat{\beta} = (X^{\top}X)^{-1} X^{\top} y

Sample problem

The medical test paradox

P(\text{sick} \mid +) = ?

A test is 99% accurate; the disease affects 1 in 10,000. Given a positive test, what's the probability the patient is actually sick?

Exam preparation

We prep you for:

AP StatisticsIB Math Applications & InterpretationGRE QuantitativeActuarial P/1 prepUniversity intro stats finals

FAQ

Statistics tutoring — questions

Yes — one of the first things we clarify. Different philosophies, different tools; we cover both.

Statistics

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Tell us your course and goals. We'll match you with the right tutor and put a first session on the calendar.

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