Media Summary: (June 3, 2013) Professor Susskind continues the discussion of phase transitions beginning with a review of the Ising model and ... We prove linearity of expectation, solve a Putnam problem, introduce the Negative Binomial distribution, and consider the St. We introduce conditional probability, independence of events, and Bayes' rule.
Lecture 10 Part 1 Statistical - Detailed Analysis & Overview
(June 3, 2013) Professor Susskind continues the discussion of phase transitions beginning with a review of the Ising model and ... We prove linearity of expectation, solve a Putnam problem, introduce the Negative Binomial distribution, and consider the St. We introduce conditional probability, independence of events, and Bayes' rule. Much of this course is about random variables and their distributions. The relationship between a random variable and its ...
