Statistics & Probability — College Study Guide

A comprehensive, exam-ready guide to introductory Statistics and Probability, covering descriptive statistics, probability rules, conditional proba-bility and Bayes’ theorem, the binomial and normal distributions, the Central Limit Theorem, confidence intervals, hypothesis testing, and correlation/regression basics. Includes fully worked examples (including a classic Bayes’-theorem diagnostic-testing

problem), comparison tables clarifying commonly confused concepts (p-values vs. con-fidence intervals, standard deviation vs. standard error), a 19-term glossary, and 18 original practice questions with detailed explanations. Designed to build genuine statistical intuition, not just formula memorization — ideal for exam prep, research methods courses, or anyone needing to interpret data correctly.