Statistical Analysis, Tests, and Distribution Tools

This hub focuses on the statistical tasks people often need together when reviewing datasets, experiments, surveys, classroom exercises, and business metrics: summarizing means and medians, checking variance and standard deviation, finding quartiles and percentiles, converting z-scores, reading normal-distribution probabilities, estimating confidence intervals, testing significance with t-tests or ANOVA, and measuring correlation or regression relationships between variables.