Quantitative Analysis and Statistics Questions

Designing and interpreting quantitative studies and statistical analyses to generate valid, actionable conclusions. Topics include hypothesis testing, statistical significance versus practical significance, effect sizes, confidence intervals, regression and basic causal inference, power and sample size considerations, handling missing data and outliers, segmentation and weighting, controlled experiment design and analysis, data cleaning, and effective visualization and communication of quantitative results with appropriate attention to uncertainty and limitations.