What problem does it solve? Choosing and correctly applying the right statistical procedure is hard: users must validate assumptions, pick between z/t/chi-square/F methods, interpret P-values, and avoid common reasoning errors like confusing correlation with causation. This Skill provides a structured knowledge base from Triola's Elementary Statistics (11th Edition) covering the full introductory statistics workflow. ## Core Features & Use Cases - Method Selection & Decision Rules: Nine core frameworks route problems to the correct procedure, from CVDOT data exploration through hypothesis testing, ANOVA, nonparametric methods, and statistical process control. - Chapter-Level Reference: 15 chapter files with formulas, assumptions, worked examples, anti-patterns, and mental models, plus a cheatsheet, glossary, and procedure patterns for quick lookup. - Use Case: Ask whether a sample of 40 customers supports the claim that mean satisfaction exceeds 3.5. The Skill routes you to a one-sample t-test, checks normality and sampling assumptions, computes the statistic, and frames the conclusion with statistical versus practical significance. ## Quick Start Ask the statistics skill to test whether a sample mean differs significantly from a claimed population value, including assumption checks and interpretation.
