Conditional Probability & Bayes' Theorem

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SUMMARY

The discussion focuses on calculating the probability that a woman who resigned works in Store C using Bayes' Theorem. The stores have varying numbers of employees and percentages of women: Store A has 50 employees with 50% women, Store B has 75 employees with 60% women, and Store C has 100 employees with 70% women. The probabilities were calculated as follows: P(A) = 50/225, P(B) = 75/225, and P(C) = 100/225. The final probability P(C|W) was confirmed as correct using the formula P(C|W) = P(W|C)P(C)/ΣP(W|s)P(s).

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Somefantastik
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[Problem]
Stores A, B, and C have 50, 75, and 100 employees, respectively, 50, 60, and 70 percent of these are women. Resignations are equally likely among all employees, regardless of sex. One employee resigns and this is a woman. What is the prob. she works in store C?

[Solution]
Store A: 25F
Store B: 45F
Store C: 70F

P(W|A) = 25/50 (Prob. it was a woman resign given store A)
P(W|B) = 45/75
P(W|C) = 70/100


P(A) = P(B) = P(C) = 1/3 ?

or

P(A) = 50/225
P(B) = 75/225
P(C) = 100/225 ?


P(C|W) = [tex]\frac{P(W|C)P(C)}{P(W|C)P(C) + P(W|A)P(A) + P(W|B)P(B)}[/tex]

Does this look right?
 
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P(A) = 50/225
P(B) = 75/225
P(C) = 100/225

P(C|W) = P(C and W)/P(W) = P(W|C)P(C)/[itex]\sum_s[/itex]P(W|s)P(s), so it's correct.
 
Thank you very much.
 

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