Capital One Statistics & Math interview questions tend to blend rigorous quantitative reasoning with business-minded problem solving. Expect a mix of conceptual statistics (hypothesis testing, confidence intervals, power, bias/variance), experiment design and A/B testing, probability and distribution intuition, and quick numeric calculations that tie back to product or portfolio decisions. Interviews often evaluate not just correct answers but how you structure a problem, make and state assumptions, communicate uncertainty, and translate findings for non-technical partners. For interview preparation focus on fundamentals and applied thinking: refresh sampling methods, regression diagnostics, basic Bayesian versus frequentist intuition, and math shortcuts for mental arithmetic. Practice role-play or case-style prompts where you walk through experiment design, define metrics, and explain trade-offs aloud. Time-boxed mock interviews and explaining statistical results to a product or business stakeholder are particularly helpful. Finally, be ready to show clear assumptions, interpret effect sizes (not just p-values), and discuss limitations—those communication skills are often as important as the math.