Using the information in part A including the above identity, the union rule, and the product rule, find a formula for P(F) that is similar to the one used in the denominator for the Bayes' Theorem formula.

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Chapter1: Combinatorial Analysis
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Using the information in part A including the above identity, the union rule, and the product rule, find a formula for P(F) that is similar to the one used in the denominator for the Bayes' Theorem formula. 

1.) (a) In our proof of Bayes' Theorem, we used the following identity: F = (EF) U (E'N F).
This is true for any sets/events E and F. Illustrate this identity using a Venn diagram, and explain.
E
F
"(En
F) is the part of set F that is also part of set E.
"(E' F) is the part of set F that is not part of set E.
Putting these two parts together by taking their union gives us
set F.
Transcribed Image Text:1.) (a) In our proof of Bayes' Theorem, we used the following identity: F = (EF) U (E'N F). This is true for any sets/events E and F. Illustrate this identity using a Venn diagram, and explain. E F "(En F) is the part of set F that is also part of set E. "(E' F) is the part of set F that is not part of set E. Putting these two parts together by taking their union gives us set F.
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