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[[Lecture30_blog_ECE302S13_Boutin|30]]) | [[Lecture30_blog_ECE302S13_Boutin|30]]) | ||
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| − | In Lecture 22, | + | In Lecture 22, we talked about the standard normal Gaussian and how it can be used to compute probabilities for any normally distributed variable. The underlying method was the subject of a quiz given at the end of the lecture. We also had a little bit of time to start talking about two dimensional random variables. |
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| + | Please let me know if the material of the quiz is clear now, or if we need to spend more time on this. Feel free to write comments directly below. | ||
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Next: [[Lecture23_blog_ECE302S13_Boutin|Lecture 23]] | Next: [[Lecture23_blog_ECE302S13_Boutin|Lecture 23]] | ||
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| + | ===Comments/questions/discussion=== | ||
| + | *Write a comment here. | ||
| + | *write a comment here. | ||
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[[2013_Spring_ECE_302_Boutin|Back to 2013 Spring ECE302 Boutin]] | [[2013_Spring_ECE_302_Boutin|Back to 2013 Spring ECE302 Boutin]] | ||
Latest revision as of 06:09, 28 February 2013
Lecture 22 Blog, ECE302 Spring 2013, Prof. Boutin
Wedenesday February 27, 2013 (Week 8) - 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 22, we talked about the standard normal Gaussian and how it can be used to compute probabilities for any normally distributed variable. The underlying method was the subject of a quiz given at the end of the lecture. We also had a little bit of time to start talking about two dimensional random variables.
Please let me know if the material of the quiz is clear now, or if we need to spend more time on this. Feel free to write comments directly below.
Action items for students (to be completed before next lecture)
- Read Section 5.2,5.3,5.4 in the textbook.
- Solve the following practice problems and consider sharing your answers for discussion and feedback. (You will hand in your solution as part of homework 5.)
Previous: Lecture 21
Next: Lecture 23
Comments/questions/discussion
- Write a comment here.
- write a comment here.
