Introduction to Stat 110 13 1
Let's dive into the details surrounding Stat 110 13 1. We introduce the Normal distribution, which is the most famous, important, and widely-used distribution in all of
Stat 110 13 1 Comprehensive Overview
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 conditional probability, independence of events, and Bayes' rule. We compare discrete vs. continuous distributions, and discuss probability density functions (PDFs), variance, standard deviation, ...
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 13 1
- We analyze the gambler's ruin problem, in which two gamblers bet with each other until
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- We continue further with conditional probability, and discuss the law of total probability, the so-called prosecutor's fallacy, ...
- We discuss location and scale, and standardization. We also make a conscious effort to describe the Law of the Unconscious ...
- We introduce Markov chains -- a very beautiful and very useful kind of stochastic process -- and discuss the Markov property, ...
That wraps up our extensive overview of Stat 110 13 1.
