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Probability
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OpenStudy (anonymous):
Help Please!
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OpenStudy (anonymous):
OpenStudy (anonymous):
Can anybody help me?
OpenStudy (anonymous):
@ganeshie8 help please..
OpenStudy (anonymous):
I really don't understand how to do the diagram tree..
ganeshie8 (ganeshie8):
|dw:1395895242771:dw|
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ganeshie8 (ganeshie8):
|dw:1395895336778:dw|
OpenStudy (anonymous):
I started the diagram tree but when I tried to find P(E1 ∩ F) I kept getting it wrong. I multiplied (3/12)(2/3) and then divided by 2/3+1/7+1/2
ganeshie8 (ganeshie8):
yes, you're partially correct!
the given numbers are already probabilities, so you need not divide by anything again
ganeshie8 (ganeshie8):
for part a),
just do below :
\(\large P(E_1\cap F) = \frac{3}{12}\times \frac{2}{3}\)
\(\large P(E_2\cap F) = \frac{7}{12}\times \frac{1}{7}\)
\(\large P(E_3\cap F) = \frac{2}{12}\times \frac{1}{2}\)
OpenStudy (anonymous):
I see.. I kept dividing -.- for finding P(f) how would I do that?
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OpenStudy (anonymous):
For part C would the numbers change opposite
OpenStudy (anonymous):
? @ganeshie8
ganeshie8 (ganeshie8):
for partb),
just add up the answers from part a)
ganeshie8 (ganeshie8):
\(\large P(F) = \frac{3}{12}\times \frac{2}{3}
+ \frac{7}{12}\times \frac{1}{7}
+ \frac{2}{12}\times \frac{1}{2}\)
OpenStudy (anonymous):
part c is not dividing?
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ganeshie8 (ganeshie8):
partc is about dividing !
OpenStudy (anonymous):
sorry ^.^
ganeshie8 (ganeshie8):
use bayees theorem/formula :
\(\large P(E_1 | F) = \frac{P(E_1\cap F)}{P(F)}\)
OpenStudy (anonymous):
Alright =) Thank You. I really appreciate the help c=
ganeshie8 (ganeshie8):
np.. u wlc :)
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