Statistical Analysis and Interpretation Questions

Demonstrate sound statistical methods for compensation data analysis and the ability to translate quantitative findings into business insight. Core skills include descriptive statistics and distributional analysis (percentiles, median, mean, standard deviation, measures of dispersion), outlier detection and handling, correlation assessment, basic and multivariable regression to control for confounders such as tenure or location, hypothesis testing with interpretation of p values and confidence intervals, evaluation of sample size and statistical power, and awareness of pitfalls such as confounding, multiple comparisons, and model assumption violations. Candidates should also explain how to choose appropriate tests for pay audits, validate models, and present statistical results clearly to nontechnical stakeholders.