Introduction to Stat 110 3 1
Welcome to our comprehensive guide on Stat 110 3 1. We discuss the birthday problem (how many people do you need to have a 50% chance of there being 2 with the same birthday?)
Stat 110 3 1 Comprehensive Overview
We compare discrete vs. continuous distributions, and discuss probability density functions (PDFs), variance, standard deviation, ... 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 ...
We introduce the Beta distribution and show how it is the conjugate prior for the Binomial, and discuss Bayes' billiards. Stephen ...
Summary & Highlights for Stat 110 3 1
- PROFESSOR: In Chapter
- We show how to think about a conditional expectation E(Y|X) of one r.v. given another r.v., and discuss key properties such as ...
- We introduce sample spaces and the naive definition of probability (we'll get to the non-naive definition later). To apply the naive ...
- We introduce Markov chains -- a very beautiful and very useful kind of stochastic process -- and discuss the Markov property, ...
- We continue further with conditional probability, and discuss the law of total probability, the so-called prosecutor's fallacy, ...
In summary, understanding Stat 110 3 1 gives us a better perspective.