Understanding Lecture 11 The Poisson Distribution Statistics 110
If you are looking for information about Lecture 11 The Poisson Distribution Statistics 110, you have come to the right place. We introduce the
Key Takeaways about Lecture 11 The Poisson Distribution Statistics 110
- We introduce the
- We introduce conditional probability, independence of events, and Bayes' rule.
- We work through some extra examples, such as the coupon collector problem, an example of Universality of the Uniform, ...
- We discuss transformations of r.v.s (change of variables), the LogNormal
- We introduce the Normal
Detailed Analysis of Lecture 11 The Poisson Distribution Statistics 110
We discuss the birthday problem (how many people do you need to have a 50% chance of there being 2 with the same birthday?) We compare discrete vs. continuous We introduce the Gamma
We introduce the Beta
We hope this detailed breakdown of Lecture 11 The Poisson Distribution Statistics 110 was helpful.