From a sample to a conclusion.

Unit 1 · Foundations

Descriptive statistics

Mean, median, mode, variance, standard deviation, the shape of a distribution.

1 demo lesson · 8 cards Unit 2 · Sample space

Probability basics

Sample spaces, events, axioms, conditional probability, independence, Bayes' rule.

1 demo lesson · 8 cards Unit 3 · Distributions

Random variables

Discrete and continuous, PMF, PDF, CDF, expectation, variance of a variable.

1 demo lesson · 8 cards Unit 4 · The usual suspects

Named distributions

Binomial, Poisson, geometric, normal, exponential — when each one applies.

1 demo lesson · 8 cards Unit 5 · Multiple

Joint distributions

Joint, marginal, conditional distributions, covariance, correlation.

1 demo lesson · 8 cards Unit 6 · Theorems

Limit theorems

Law of large numbers, central limit theorem, what "large n" actually buys you.

1 demo lesson · 8 cards Unit 7 · Estimation

Estimators & sampling

Bias, variance, consistency, MLE, confidence intervals for means and proportions.

1 demo lesson · 8 cards Unit 8 · Tests

Hypothesis testing

Null and alternative, p-values, Type I/II errors, z-test, t-test, chi-square.

1 demo lesson · 8 cards Unit 9 · Real data

Regression & correlation

Linear regression, least squares, residuals, multiple regression, model pitfalls.

1 demo lesson · 8 cards