What does this mean...? Choose a row and column and compare P(A | B) with P(B | A). Explain what each probability means in the context of the situation and data you collected.
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OpenStudy (anonymous):
@dan815
OpenStudy (anonymous):
@Haseeb96
OpenStudy (anonymous):
@Owlcoffee
OpenStudy (anonymous):
@Michele_Laino
OpenStudy (anonymous):
DAN
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OpenStudy (anonymous):
HASEEB
OpenStudy (michele_laino):
where is the table of your question, please?
OpenStudy (anonymous):
ill post it one sec
OpenStudy (alekos):
P(A|B) is a method of expressing conditional probability where in this case it means the probability of event A if event B has ocurred
OpenStudy (dan815):
they want you to answer questions like
Probability of Twitter in 2015
P(twitter|2015)
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OpenStudy (anonymous):
so would that be p(a)
OpenStudy (dan815):
P(A|B)
where A is number of Twitter users
And B is the year
OpenStudy (anonymous):
ohh and would the net one be for instagram?
OpenStudy (anonymous):
or would it be twitter again but reversed
OpenStudy (dan815):
no you have to invert the equinox
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OpenStudy (anonymous):
so 2010?
OpenStudy (dan815):
thats right
OpenStudy (dan815):
P(A|B) means Probablity of A given B
OpenStudy (anonymous):
oh so how would i write that
OpenStudy (dan815):
so say for
P(twitter|2015), this can be interpreted as how many twitter users out of all the other users in the year 2015,
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OpenStudy (dan815):
which is 270 million/ 570 million
OpenStudy (dan815):
and now do p(2015|twitter)
OpenStudy (dan815):
wait just look at this pic
OpenStudy (anonymous):
k..
OpenStudy (empty):
P(late|2008) = ?
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