Basic Probabilities. Conditional Prob.

AI Thread Summary
The discussion revolves around calculating the conditional probability that dishwasher Z broke a dish given that it is broken. The user presents initial calculations, determining P(Br) as 0.16 and P(Z ∩ Br) as 0.009, leading to a calculated P(Z|Br) of 0.05625. However, the user questions this result against a book's answer of 0.57, suspecting a potential error in their calculations. Other participants suggest that the user may have made a mistake in the math, indicating that Z should be more likely to have broken the dish than the calculated probability suggests. The conversation emphasizes the importance of reviewing calculations to ensure accuracy in probability assessments.
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Hi, everyone : I have the following problem:

We have 3 dishwashers X,Y,Z, with the conditions:



1) X washes 40% of dishes, and breaks
1% of the dishes s/he washes.

2)Y washes 30% of the dishes, breaks 1%

3)Z washes 30% of the dishes and breaks 3%.

Question: If a dish is broken: what is the probability that Z broke
the dish.?.

My work:
Events:
E1)Br means "Broke the dish",
E2)X (equiv. Y,Z) means "X ( Equiv. Y,Z) washed the dish.".
E3) (Br|X) means event of dish breaking when X is washing.

Notation:
P(A|B) is conditional probability of B, given A. '/\' means
intersection.


We have : P(Br|X)= 0.01 , P(Br|Y)=0.01 and P(Br|Z)=0.03

P(X)=0.4 , P(Y)=0.3 , P(Z)=0.3


We want to find P(Z|Br), which is equal to P(Z/\Br)/P(Br) , by def. of conditional
probability.


1) First, we find P(Br)=P( (Br/\X)\/(Br/\Y)\/(Br/\Z) )=

P(Br|X)P(X)+P(Br|Y)P(Y)+ p(Br|Z)P(Z)= 0.16

(side question: how do we know that any assignment of probabilities here will

give us P(Br)< =1 ? )


2) P(Z/\Br) =P(Z)P(Br|Z) = (0.3)(0.03)=0.009


3) Using 1,2 above, we get P(Br|Z)= 0.009/0.16= 9/160= 0.05625


But the book has 0.57 as a solution. Could the book have made a mistake.?
Would anyone please check.?

Thanks.
 
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At first glance (without going through the math) you have dropped a power of 10 somewhere...

you may want to redo your calculations
 
Thanks, Noobix.
You mean because Z should be much more likely to have broken the plate than either
X or Y (which would not be the case if P(Z|Br) was 0.057.)?
 
I was reading documentation about the soundness and completeness of logic formal systems. Consider the following $$\vdash_S \phi$$ where ##S## is the proof-system making part the formal system and ##\phi## is a wff (well formed formula) of the formal language. Note the blank on left of the turnstile symbol ##\vdash_S##, as far as I can tell it actually represents the empty set. So what does it mean ? I guess it actually means ##\phi## is a theorem of the formal system, i.e. there is a...

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