Introduction to Probability and Statistics 131A. Lecture 3. Random Variables

UCI Math 131A: Introduction to Probability and Statistics (Summer 2013)
Lec 03. Introduction to Probability and Statistics: Random Variables
Instructor: Michael C. Cranston, Ph.D.

License: Creative Commons CC-BY-SA

Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distributions, expectation.

Recorded on June 28, 2013

[georgesadler]

Professor Cranston, thank you for a solid Introduction to Discrete and Continuous Random Variables in Probability and Statistics. Random Variables is an important topic in Probability and Statistics. Calculus is needed to fully understand this material from start to finish. This is an error free video/lecture on YouTube TV with Professor Michael C. Cranston.

[jiehe]

The professor gave crystal clear explanation of poisson rv and its connection to binomial! Check it out at 1:00:10

[saarthaksangamnerkar]

I love Prof. Cranston. He simplifies everything so well

[ktiwari]

What a legendary Professor. I have become a big fan of yours. 🙏

[joseramonmoralesgeraldino]

Beautiful! Thank you, Prof. Cranston.

[justinji]

probability lecture on mit open course is trash, but this is the highest quality i ever found....

[Haav]

Amazing lecture and professor. The camera man not so well.

[ankitjaveri]

Sir, please can you send the assignment/practice problems

[ryanjacksonx]

What is the character he used for "with" in "experiment with"?

[saubaral]

this seems sad, the number of comments :(