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| − | In Lecture 32, | + | In Lecture 32, we quickly reviewed the binomial formula before finishing the example of a random step process that we had started in the previous lecture. After that, we looked at a couple of sum processes. In particular, we obtain a formula for the pdf of a sum of independent random variables (namely, the convolution of their respective pdf's). |
Latest revision as of 09:11, 29 March 2013
Lecture 32 Blog, ECE302 Spring 2013, Prof. Boutin
Friday March 29, 2013 (Week 12) - 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, 31 32)
In Lecture 32, we quickly reviewed the binomial formula before finishing the example of a random step process that we had started in the previous lecture. After that, we looked at a couple of sum processes. In particular, we obtain a formula for the pdf of a sum of independent random variables (namely, the convolution of their respective pdf's).
Action items for students (to be completed before next lecture)
- Read Section 9.3 in the textbook.
- Quiz 9 (practice exam).
Previous: Lecture 31
Next: Lecture 33
