Hard-level statistics interview questions covering advanced inference, multiple comparisons, non-parametric methods, and complex experimental design. Q1: Explain the multiple comparisons problem and how to address it. Answer: graph TB A[Multiple Comparisons] --> B[Multiple Tests] B --> C[Increased Type I Error] C --> …

Medium-level statistics interview questions covering hypothesis testing, regression analysis, and statistical inference. Q1: Explain hypothesis testing: null hypothesis, alternative hypothesis, p-value, and significance level. Answer: graph TB A[Hypothesis Test] --> B[Null Hypothesis H₀] A --> C[Alternative Hypothesis …

Visual guide to Bayesian reasoning and updating beliefs with evidence. Formula

$P(H|E)$: Posterior (probability of hypothesis given evidence) $P(E|H)$: Likelihood (probability of evidence given hypothesis) $P(H)$: Prior (initial probability of hypothesis) $P(E)$: Marginal …