ok! If I have a table with X & P(x), how would I find the expected value??
x| 23|25|26|31|34|38
P(X)| 0.16|.09|0.18|0.12|0.24|0.21
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OpenStudy (anonymous):
@FutureMathProfessor
OpenStudy (anonymous):
@campbell_st @Loujoelou
OpenStudy (anonymous):
@mathmate
OpenStudy (anonymous):
would you do:
X * P(X) and do it for all the values and ADD THEM all together to get the expected value??
OpenStudy (anonymous):
HELP guys?
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OpenStudy (campbell_st):
well my understanding of expected value from probability is
sum x*P(x) so
23*0.16 + 25*0.09 + .....
OpenStudy (anonymous):
yea that's what I was asking. so is that how u do it?
OpenStudy (anonymous):
cuz that's how I got 30.47
OpenStudy (campbell_st):
as its shown above
I haven't done the calculation, you are summing 6 terms
and doing a quick approximation, your answer seems reasonable
OpenStudy (anonymous):
ok
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OpenStudy (anonymous):
thanks
OpenStudy (anonymous):
also:
OpenStudy (anonymous):
@FutureMathProfessor
OpenStudy (mathmate):
Conditional probability:
A=first throw, odd
B=second throw, 1 or 6
\( P(B|A)=P(B\cap A) / P(A) \)
You can see from the contingency table that there are 6 outcomes for \( A \cap B \) and 18 outcomes for A, so the probability is (6/36)/(18/36)=1/3