Quantitative Research and Analysis Questions

Covers end to end quantitative research methods used to measure and validate product and user behavior hypotheses. Topics include experimental and quasi experimental design, split testing and controlled experiments, metric definition and success criteria, sample size calculation and statistical power, selection of appropriate statistical tests and interpretation of statistical significance and effect sizes, confidence intervals, correlation versus causation, common statistical pitfalls and biases, analytics instrumentation and metric tracking, survey design and quantitative measurement, and data analysis workflows and tools used to analyze large scale user data. Candidates should be able to design experiments, justify metric choices, calculate sample size and duration, analyze results rigorously, and make data driven recommendations.