Lecture
This lecture covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities. Topics include types of data, graphs, numerical syntheses, boxplot, normal distribution, and chi-square. Students will learn about estimation, confidence intervals, tests of hypotheses, and theorems related to probabilities and random variables. The course also provides information and advice for the final exam, along with exercises and a reading list. Emphasis is placed on understanding fundamental statistical ideas and applying them to real-world scenarios.