Descriptive statistics Courses and exercises on descriptive statistics

Abstract

This course material provides a comprehensive introduction to statistics for undergraduate students in science and technology. It covers the essential concepts of descriptive and inferential statistics, including data collection, classification, graphical representation, measures of central tendency and dispersion, probability theory, random variables, and sampling distributions. The document also explores estimation techniques, hypothesis testing, and correlation and regression analysis, combining theoretical explanations with practical examples and exercises to develop analytical and problem-solving skills. Designed as both a teaching and learning tool, this polycopié aims to build a solid foundation in statistical reasoning and its applications in scientific and engineering contexts.