MT/ST 220 - Introduction to Probability and Statistics

This course provides a comprehensive introduction to the fundamental concepts and techniques of probability and statistics. The course will equip students with the necessary skills to analyze and interpret data, make informed decisions, and address uncertainty.

Through a combination of theoretical foundations, real-world examples, and practical exercises, students will develop a solid understanding of probability theory, statistical models, and inference methods commonly encountered across disciplines. The course emphasizes the application of statistical tools and techniques to solving problems and identifying trends, enabling students to draw meaningful conclusions from data and effectively communicate statistical findings.

The course covers a wide range of topics, including but not limited to probability distributions, random variables, sampling methods, hypothesis testing, confidence intervals, regression analysis, and design of experiments. Students will learn how to model and analyze systems by applying appropriate statistical methods, with an emphasis on both parametric and non-parametric approaches.

Throughout the course, students will gain hands-on experience using statistical software packages and programming languages commonly used, such as R. They will also develop critical thinking and problem-solving skills by working on practical assignments and projects that require data analysis and interpretation.