Handout in statistics 3

Abstract

This handout presents the main concepts and applications of Statistics 3 for second-year students in economics, commercial sciences, and management. It aims to provide a comprehensive introduction to probability distributions and their role in statistical analysis and decision-making. The material explains both discrete and continuous probability distributions and highlights their theoretical foundations and practical applications. Key discrete distributions discussed include the uniform, Bernoulli, binomial, Poisson, geometric, and hypergeometric distributions. Continuous distributions such as the uniform, normal, exponential, gamma, beta, chi-square, Student’s t, and Fisher’s F distributions are also examined. The handout further explores joint distributions of two random variables, including marginal and conditional distributions, covariance, and correlation. Through explanations, examples, and practical exercises, students develop analytical and problem-solving skills. The objective is to help learners understand statistical concepts and apply them effectively in real-world contexts related to economics, business, and data analysis.