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| − | In Lecture 25, we ... | + | In Lecture 25, we continued talking about the conditional density function. In particular, we covered the example of a uniform distribution on a circle of radius r. We also saw the definition of conditional density when the condition is an event B (instead of the event "random variable Y=y"). |
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| + | Please try out the related problem below and let me know whether the definition is clear. (Feel free to write comments/questions directly below the problem if it is not clear.) | ||
Latest revision as of 10:24, 6 March 2013
Lecture 25 Blog, ECE302 Spring 2013, Prof. Boutin
Wednesday March 6, 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 25, we continued talking about the conditional density function. In particular, we covered the example of a uniform distribution on a circle of radius r. We also saw the definition of conditional density when the condition is an event B (instead of the event "random variable Y=y").
Please try out the related problem below and let me know whether the definition is clear. (Feel free to write comments/questions directly below the problem if it is not clear.)
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 24
Next: Lecture 26
