Revision as of 12:57, 14 January 2013

Lecture 4 Blog, ECE302 Spring 2013, Prof. Boutin

Monday January 14, 2013 (Week 2) - See Course Outline.

Go to 1,2,3,4,5, 6, 7

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 Monty Hall problem?

Action items for students (to be completed before next lecture)

• Read subsection 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.
  • Use Conditional Probability to explain the solution of the Monty Hall Problem

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Next: Lecture 5

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