Statistics & Math interview questions

Showing 421–439 of 439 results

• Compute robust inference under skew and outliersHard

  This problem tests your ability to design a robust statistical framework for comparing two groups with highly skewed, heavy-tailed data and potential outliers, moving beyond simple t-tests.

  VoleonData ScientistStatistics & MathTechnical Screen
• Diagnose and interpret regression assumptionsMedium

  This problem tests your ability to diagnose violations of OLS assumptions in count data and determine the appropriate corrective modeling strategy.

  VoleonData ScientistStatistics & MathTechnical Screen
• Explain P-Value Reporting and Bootstrap for Coefficient EstimationMedium

  This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Explain P-Value Reporting and Bootstrap for Coefficient Estimation states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  VoleonData ScientistStatistics & MathTechnical Screen
• Solve Markov, OLS-rotation, and coin-toss probabilityEasy

  This multi-part question evaluates understanding of Markov chain and stochastic matrix properties, linear-algebra facts about eigenvalues and stationary distributions, invariance and sampling-distribution properties of OLS under orthonormal rotations, and discrete stopping-time probability reasoning for coin-flip processes.

  VoleonData ScientistStatistics & MathTechnical Screen
• Understand Propensity Score Matching in Business AnalyticsMedium

  This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Understand Propensity Score Matching in Business Analytics states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Walmart LabsData ScientistStatistics & MathOnsite
• Assess Routing Experiment ValidityMedium

  This question evaluates experimental analysis and statistical hypothesis testing skills, including data preparation and joining, interpretation of p-values, and understanding of causal inference and threats to validity in A/B tests.

  WaymoData ScientistStatistics & MathOnline Assessment
• Compare Two Rare-Event Rates with Different ExposureMedium

  Compare sparse event rates across unequal mileage using a two-sample Poisson framework, exact conditional testing, and honest uncertainty.

  WaymoData ScientistStatistics & MathTechnical Screen
• Compute probability match lasts 5 gamesEasy

  This question evaluates understanding of discrete probability, sequential best-of-n match modeling, Monte Carlo simulation for probability estimation, and interval estimation for proportions.

  WaymoData ScientistStatistics & MathTechnical Screen
• Estimate Event Rates from Unequal-Probability SamplesMedium

  Establish event rates from unequal sampling with inverse-probability weighting, exposure-aware denominators, and efficient stratified allocation.

  WaymoData ScientistStatistics & MathTechnical Screen
• Estimate total attendance from size-biased reservation sampleEasy

  This question evaluates understanding of size-biased sampling, selection bias correction, finite-population total estimation, and uncertainty quantification in survey sampling.

  WaymoData ScientistStatistics & MathTechnical Screen
• Model Rare Events with a Log Link and Handle Zero CountsMedium

  Explain rare-event log-link models, exposure offsets, zero counts, overdispersion, and the difference between counts and binary outcomes.

  WaymoData ScientistStatistics & MathTechnical Screen
• Model wins-until-failure and expected future winsEasy

  This question tests your ability to model geometric distributions and apply maximum likelihood estimation (MLE) to censored data.

  WaymoData ScientistStatistics & MathOnsite
• Test whether two distributions differMedium

  Test whether two datasets come from the same distribution using univariate and multivariate methods, including KS, categorical tests, classifier two-sample tests, MMD, permutation tests, effect sizes, multiple-testing control, clustering-aware uncertainty, and sampling designs.

  WeRideData ScientistStatistics & MathTechnical Screen
• Find the Expected Number of Record MaximaMedium

  A permutation of the distinct values `1` through `100` is revealed from left to right. Explain the assumptions and derivation clearly, check edge cases, and show how the result changes when those assumptions no longer hold.

  WorldquantData ScientistStatistics & MathTechnical Screen
• Price a Sequential Four-Box Search GameMedium

  Four boxes contain one \$100 prize. Explain the assumptions and derivation clearly, check edge cases, and show how the result changes when those assumptions no longer hold.

  WorldquantData ScientistStatistics & MathTechnical Screen
• Calculate Expected Flips for Heads-Tails SequenceEasy

  This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Calculate Expected Flips for Heads-Tails Sequence states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  YahooData ScientistStatistics & MathTechnical Screen
• Prove Equal Probability Impossible with Relabeled Dice FacesMedium

  This interview question evaluates statistical assumptions, formulas, estimation strategy, uncertainty, edge cases, and interpretation in a realistic interview setting. A strong answer for Prove Equal Probability Impossible with Relabeled Dice Faces states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  YahooData ScientistStatistics & MathTechnical Screen
• Compute posterior for biased coin after 3H1TMedium

  This question evaluates a candidate's understanding of Bayesian inference, computation of posteriors and Bayes factors, posterior predictive probabilities, and decision-theoretic model selection in a simple biased-coin scenario.

  ZooxData ScientistStatistics & MathTechnical Screen
• Solve estimation and probability brainteasersEasy

  This question evaluates quantitative estimation, unit conversion, geometric scaling, and basic probability skills across multiple short brainteaser prompts.

  ZooxData ScientistStatistics & MathOnsite