6 docs tagged with "statistics"

The central limit theorem, its assumptions and limitations, and why standardized sample means often approach a normal distribution.

A path from questions and data-generating processes to reproducible transformations, leakage-resistant splits, distribution-shift evaluation, and bounded conclusions.

A compact vocabulary for discussing datasets, modeling choices, evaluation, and reproducibility without product-specific jargon.

The linear prediction model, squared-error objective, solution methods, and the assumptions that determine what its coefficients mean.

Approximate sample-size formulas for estimating a population mean or proportion under stated confidence and margin-of-error assumptions.

A map from probability models and random variables to sampling, estimation, and statistical decisions.