Topics
1. The Axioms of Probability
Consider an experiment whose sample space is . For each event E of the sample space we assume that a number E is defined and satisfies the following three axioms:
Axiom 1 states probability that the outcome of the experiment is an outcome in E is some number between 0 and 1.
\[0 \le P(E) \le 1\]
Axiom 2 states that with probability 1, the outcome will be a point in the sample space S.
\[P(S) = 1\]
2. Naive Definition of Probability
This is where I talk about Conditional probability.
3. Chain Rule
This is where I talk about chain Rule.
4. Bayes Rule
This is where I talk about Bayes Rule.
5. Discrete Random Variables
This is where I talk about Random Variables.
6. Continuous Random Variables
This is where I talk about Random Variables.