stats-methods

Installation and usage

Apply statistical techniques to data — descriptive statistics, distributions, hypothesis testing, A/B test evaluation, outlier detection, trend analysis, correlation, forecasting, p-values, confidence intervals, significance testing, and avoiding common statistical pitfalls like Simpson's paradox and survivorship bias.

skills use stats-methods