Quant Interview Statistics Final Drill
Final statistics drill for quant interviews covering distributions, variance, covariance, regression, inference, validation, and evidence.
Candidates reviewing statistics and research judgment for quant interviews.
Review distributions by use
Know what a distribution assumption is buying: tractable probabilities, variance estimates, tail reasoning, or a model for noise. Do not quote distributions without context.
Connect moments to risk
Variance, covariance, and correlation should be explained as risk and dependence tools. A final answer should include units, interpretation, and limits of the measure.
Interpret regression carefully
Regression prompts require the target, features, coefficient meaning, residual behavior, and validation plan. A coefficient is evidence to examine, not proof of a tradable result.
Separate significance and usefulness
Statistical significance does not automatically imply economic value. Discuss sample size, costs, stability, multiple testing, and out-of-sample performance.
Common mistakes
Candidates often recite formulas without assumptions. Strong statistics answers say what the estimate means, what could bias it, and what data would change the conclusion.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.