L07.2 Conditional PMFs

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MIT RES.6-012 Introduction to Probability, Spring 2018
Instructor: John Tsitsiklis

License: Creative Commons BY-NC-SA
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Комментарии
Автор

I find it easy to understand with following e.g. H = Heights of Student, W = Weights of Students. If its given W =w, Revised model consist of only those students that have weights w and height any of h values . In revised model, P(H=h) = P (Picking students that have height = h). If you find P (h = hi) for each value of height, it will cover all the students so probability is 1.

tarunpahuja
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Very clear explanation, thank you MIT!

oscarlu
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what would be the difference of PMF conditioned by an event with a PMF conditioned by another random variable?

mahsaamiri