Second Bayes' Theorem example:
https://www.youtube.com/watch?v=k6Dw0on6NtM
Third Bayes' Theorem example:
https://www.youtube.com/watch?v=HaYbxQC61pw
Discrete Math Playlist:
https://www.youtube.com/watch?v=rdXw7Ps9vxc&list=PLHXZ9OQGMqxersk8fUxiUMSIx0DBqsKZS
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FOLLOW on Twitter:
http://www.twitter.com/TreforBazett
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Bayes' Theorem is an incredibly powerful theorem in probability that allows us to relate P(A|B) to P(B|A). This is helpful because we often have an asymmetry where one of these conditional probabilities is easy to compute and the other is not. It let's us treat compute how to update our probabilities given new information.
The formula: P(A|B) = P(B|A)P(A)/P(B)
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Now it's your turn:
1) Summarize the big idea of this video in your own words
2) Write down anything you are unsure about to think about later
3) What questions for the future do you have? Where are we going with this content?
4) Can you come up with your own sample test problem on this material? Solve it!
Learning mathematics is best done by actually DOING mathematics. A video like this can only ever be a starting point. I might show you the basic ideas, definitions, formulas, and examples, but to truly master calculus means that you have to spend time - a lot of time! - sitting down and trying problems yourself, asking questions, and thinking about mathematics. So before you go on to the next video, pause and go THINK.
This video is part of a Discrete Math course taught by Dr. Trefor Bazett at the University of Cincinnati. #probability #math