This guide gives you the big picture: what gets tested in a probability and statistics interview, and how to review it step by step. The tutorials and practice questions live in the six topics on the left — this page is just the map.
What gets tested
Interviewers check two things: can you explain a concept simply, and can you pick the right tool for a problem. They rarely ask you to derive a formula. Expect a mix of:
- Concept checks — "what does a p-value actually mean?"
- Quick calculations — a Bayes update, a two-proportion test.
- Judgment — "which test fits here, and what would change your call?"
How to review, step by step
- Go top to bottom. The six topics are ordered so each builds on the last — start with Probability basics.
- Read the tutorial, then do the questions. Each topic opens with a short review, then practice questions with worked answers.
- Say it out loud in plain English, as if to a non-technical manager — that's the real skill being tested.
- Drill weak spots. Any question that makes you pause points to the topic to revisit.
The six topics
| # | Topic | What it covers |
|---|---|---|
| 1 | Probability basics | Probability rules, counting, conditional probability, Bayes, Bernoulli and Binomial. |
| 2 | Distributions | Normal, binomial, geometric, Poisson — shapes, when to use each, and z-scores. |
| 3 | Sampling and the limit theorems | Population vs sample, standard error, the Central Limit Theorem and Law of Large Numbers. |
| 4 | Confidence intervals | What a CI means and how to build one for a mean or a proportion. |
| 5 | Hypothesis testing | Null vs alternative, p-values, Type I/II errors and power, choosing a test, multiple testing. |
| 6 | Relationships and models | Correlation vs causation, linear regression, and classification metrics like precision and recall. |
Start with Probability basics on the left.