Statistics & Math Interview Questions
Practice 489 real Statistics & Math interview questions for 2026. Statistics & Math interview questions from actual interviews with detailed solutions focused on the quantitative thinking companies expect: probability intuition, estimation, hypothesis testing, experimental design, and the algebraic reasoning behind A/B test diagnostics. This collection targets the sort of questions you’ll see in data scientist, analytics, and quantitative roles and is built for serious interview preparation. What interviewers evaluate most are clear probabilistic reasoning, correct assumptions about sampling and bias, the ability to design and interpret experiments, and concise verbal math under time pressure. Expect this category to be weighted heavily at companies like Meta, Capital One, and Google — and to appear across screens, take-home case problems, and onsite analytics/product rounds. To prepare effectively, practice fast, auditable derivations, explain assumptions out loud, and rehearse structured approaches to experimental tradeoffs and edge-case thinking.

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Compute Commuter Ride Probabilities
A commuter takes two trips on a given day: one morning commute to work and one evening commute home. On each trip they either use Lyft or they don't. ...
Solve core probability and statistics questions
Answer the following short theory/computation questions (as in an OA multiple-choice section). Provide the key formula and a brief explanation. 1. Bay...
Solve numeric sequence pattern puzzles
Sequence Pattern Puzzles This is a timed pattern-recognition section of the kind used on quantitative-trading aptitude tests. You are given five indep...
Compare Two Coin Proportions
You are given results from two independent coin-toss experiments: - Coin A was tossed 100 times and landed heads 40 times. - Coin B was tossed 1,000 t...
Choose Classification Metrics Under Asymmetric Costs
You are evaluating a binary classification model for a business problem. Explain how to use a confusion matrix to compute and interpret: - precision, ...
Calculate Precision, Recall, and F1
Question You are given a list of binary classification outputs, where class 1 is the positive class. Each record contains: - actual (INT, 0 or 1) - pr...
Calculate win chance in three-player dice game
Probability of Winning with Rerolls on Ties Setup - Three players: A (you), B, and C. - A fair six-sided die is used. - B and C have already rolled an...
Calculate Conversion Lift CI
In an A/B test, the control group had 1,000 users and 120 conversions. The treatment group had 1,000 users and 150 conversions. Using a normal approxi...
Why Use a t-Statistic?
In the context of an A/B test or a linear regression, explain why the t-statistic is a useful measure for evaluating whether an estimated effect diffe...
Solve Classic Probability Questions
An onsite interview included the following independent probability and expectation questions: 1. Squid Game bridge problem. In the classic glass-bridg...
Solve quick probability questions
Rapid-Fire Probability Questions You are in a timed quantitative screen. Answer each of the following independent probability questions, ideally in we...
Use confusion matrix to choose model metric
Scenario You built a binary classifier (e.g., fraud detection, churn risk, medical screening, spam). You are given a confusion matrix on a validation ...
Compute probabilities and expectations in random processes
This is a rapid-fire probability and expectation round: a sequence of short, self-contained brain-teasers solved on a whiteboard. The interviewer expe...
Compute posterior for biased coin after 3H1T
You are given a coin known to be biased: one face lands with probability 2/3 and the other with probability 1/3, but you do not know whether Heads is ...
Find next terms in sequences
Pattern Recognition: Find the Rule and Next Term You are given 8 number sequences. For each sequence: - Identify a clear rule that generates the terms...
Compute optimal stopping in a die-rolling game
Optimal stopping with a fair die (3-roll horizon) You observe outcomes of fair six-sided die rolls (faces 1–6) and may stop after any roll to take the...
Explain Bootstrap and Prove Uniformity
You are interviewing for a Data Scientist role. Answer the following statistics-theory prompts: 1. What is the bootstrap, when would you use it, and c...
Diagnose and interpret regression assumptions
OLS for Signups with Diagnostics and Alternatives You are given a cleaned dataset with the following columns: - signups: non-negative integer count ta...
Compute Optimal Die Re-roll Strategy
A fair six-sided die pays its face value in dollars. You may roll up to three times total. - After the first or second roll, you may either keep the o...
Why does the CLT matter?
Explain the Central Limit Theorem (CLT) and why it matters in data science and machine learning interviews. Then show how you would use the CLT to bui...