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[[Lecture30_blog_ECE302S13_Boutin|30]]) | [[Lecture30_blog_ECE302S13_Boutin|30]]) | ||
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| − | In Lecture 26, we defined independence for continuous random variables, and we justified the definition by showing that it is equivalent to the definition we used in the context of set-theoretic probability theory. We then covered the topic of "functions of a random variable". More specifically, we explained and illustrated a two step procedure to find the pdf of a random variable Y defined as a function Y=g(X) of another random variable X. | + | In Lecture 26, we defined independence for continuous random variables, and we justified the definition by showing that it is equivalent to the definition we used in the context of set-theoretic probability theory. We then covered the topic of "functions of a random variable". More specifically, we explained and illustrated a two-step procedure to find the pdf of a random variable Y defined as a function Y=g(X) of another random variable X. |
| + | Enjoy your spring break! | ||
==Action items for students (to be completed before next lecture)== | ==Action items for students (to be completed before next lecture)== | ||
Latest revision as of 03:58, 9 March 2013
Lecture 26 Blog, ECE302 Spring 2013, Prof. Boutin
Friday March 8, 2013 (Week 9) - See Course Outline.
(Other blogs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
In Lecture 26, we defined independence for continuous random variables, and we justified the definition by showing that it is equivalent to the definition we used in the context of set-theoretic probability theory. We then covered the topic of "functions of a random variable". More specifically, we explained and illustrated a two-step procedure to find the pdf of a random variable Y defined as a function Y=g(X) of another random variable X.
Enjoy your spring break!
Action items for students (to be completed before next lecture)
- Solve the following practice problem and consider sharing your solution for discussion and feedback. (You will hand in your solution later as part of homework 6.)
Previous: Lecture 25
Next: Lecture 27
