(New page: Category:2010 Fall ECE 302 Boutin Category:blog =Lecture 25 Blog, ECE302 Spring 2013, Prof. Boutin= Wednesday March 6, 2013 (Week 9) - See [[LectureScheduleEC...) |
|||
| (One intermediate revision by the same user not shown) | |||
| Line 36: | Line 36: | ||
[[Lecture30_blog_ECE302S13_Boutin|30]]) | [[Lecture30_blog_ECE302S13_Boutin|30]]) | ||
---- | ---- | ||
| − | 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"). |
| + | |||
| + | 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)== | ==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.) | *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.) | ||
| + | **[[Practice_Question_find_conditional_ellipse_ECE302S13Boutin|Find the conditional probability density function (again)]] | ||
| + | **[[Practice_Question_find_conditional_event_ECE302S13Boutin|Find the conditional probability density function (conditioned on an event this time)]] | ||
Latest revision as of 11:24, 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
