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
@FutureMathProfessor
@campbell_st @Loujoelou
@mathmate
would you do: X * P(X) and do it for all the values and ADD THEM all together to get the expected value??
HELP guys?
well my understanding of expected value from probability is sum x*P(x) so 23*0.16 + 25*0.09 + .....
yea that's what I was asking. so is that how u do it?
cuz that's how I got 30.47
as its shown above I haven't done the calculation, you are summing 6 terms and doing a quick approximation, your answer seems reasonable
ok
thanks
also:
@FutureMathProfessor
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
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