Statistical Thinking and Quantitative Analysis Questions

Covers core quantitative reasoning and applied statistics for user research and product analytics. Topics include descriptive statistics, sampling and representativeness, bias and measurement error, data cleaning and preparation, selection of appropriate statistical tests and models for different types of data, assumptions and limitations of common methods, interpretation of statistical significance, effect sizes and confidence intervals, sample size and power considerations, basics of regression and correlation, experimental design and controlled experiments, analysis of survey data and product metrics, and the ability to translate quantitative findings into actionable product and design recommendations while communicating uncertainty and practical significance.