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:Go to [[Lecture1_blog_ECE302S13_Boutin|1]],[[Lecture2_blog_ECE302S13_Boutin|2]],[[Lecture3_blog_ECE302S13_Boutin|3]],[[Lecture4_blog_ECE302S13_Boutin|4]],[[Lecture5_blog_ECE302S13_Boutin|5]], [[Lecture6_blog_ECE302S13_Boutin|6]], [[Lecture7_blog_ECE302S13_Boutin|7]] | :Go to [[Lecture1_blog_ECE302S13_Boutin|1]],[[Lecture2_blog_ECE302S13_Boutin|2]],[[Lecture3_blog_ECE302S13_Boutin|3]],[[Lecture4_blog_ECE302S13_Boutin|4]],[[Lecture5_blog_ECE302S13_Boutin|5]], [[Lecture6_blog_ECE302S13_Boutin|6]], [[Lecture7_blog_ECE302S13_Boutin|7]] | ||
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| − | In the fourth lecture, we | + | In the fourth lecture, we defined the conditional probability P(A|B) and illustrated how to compute it with two examples. We also constructed a decision tree to illustrate how the the concept of conditional probabilities can be used to obtain the probability of false alarm and the probability of missed detection in a detection experiment. |
| − | + | ||
==Relevant Links== | ==Relevant Links== | ||
| − | * | + | * The game show that inspired the Mounty Hall problem? |
| − | *<youtube> | + | **<youtube>zJ7ylvsMGvc</youtube> |
==Action items for students (to be completed before next lecture)== | ==Action items for students (to be completed before next lecture)== | ||
| − | * Read subsections 2. | + | * Read subsections 2.5 of the textbook. |
| − | * Solve the following | + | * Solve the following problem in the textbook (do not hand in yet. These will be part of the second homework assignment.) |
| − | ::2. | + | ::2.62 |
* Solve the following problem and share your solutions/comments/questions. | * Solve the following problem and share your solutions/comments/questions. | ||
| − | ** | + | **[[Practice_Question_Mounty_Hall_ECE302S13Boutin|Use Conditional Probability to explain the solution of the Mounty Hall Problem]] |
Revision as of 10:21, 14 January 2013
Lecture 4 Blog, ECE302 Spring 2013, Prof. Boutin
Monday January 14, 2013 (Week 2) - See Course Outline.
In the fourth lecture, we defined the conditional probability P(A|B) and illustrated how to compute it with two examples. We also constructed a decision tree to illustrate how the the concept of conditional probabilities can be used to obtain the probability of false alarm and the probability of missed detection in a detection experiment.
Relevant Links
- The game show that inspired the Mounty Hall problem?
Action items for students (to be completed before next lecture)
- Read subsections 2.5 of the textbook.
- Solve the following problem in the textbook (do not hand in yet. These will be part of the second homework assignment.)
- 2.62
- Solve the following problem and share your solutions/comments/questions.
Previous: Lecture 3
Next: Lecture 5
