Probability and Statistics for Physics

This lecture covers the fundamental concepts of probability and statistics applied to physics, addressing questions such as the likelihood of events, the deviation in coin tosses, and the trajectory of particles. It explores the distinction between probability and statistics, highlighting interesting results like the Gaussian distribution in data histograms and the movement of pollen in water. Additionally, it delves into the Standard Model of elementary particles, including quarks, leptons, and gauge bosons, with a focus on the discovery of the top quark. Practical applications of probability and statistics in real-world scenarios are also discussed, such as estimating proportions and testing hypotheses.