Probability and Statistics: Basics and Applications

This lecture introduces the fundamental concepts of probability and statistics, covering topics such as data analysis, central tendency, dispersion, and graphical representation. Students will learn how to summarize data, interpret histograms, boxplots, and stem-and-leaf diagrams, and understand the importance of statistical inference. The course also includes practical applications in various fields like meteorology, economics, and medicine. Emphasis is placed on building statistical models, hypothesis testing, and regression analysis. The instructor provides exercises, mock exams, and study materials to help students grasp the key concepts effectively.