Can they be assume as individual (mutually exclusiv) events? so add is just algebraic add? 0.032+0.078+0.77 = 0.88 =88% ?
(It seems much just looking at numbers, I am making thinking mistake, no? Are they not mutually exclusiv (correct term?)
The events "exactly 3", "exactly 4", and "exactly 5" are
mutually exclusive; if you think about it, that should be obvious. (But it's wise in this field not to assume that what seems obvious is really true!)
So, yes, you can add them.
However, the numbers you want to add are
incorrect.
So Accordingly, I have P (A and B) = P(A)(Revision)*P(B)(Not Published) = 0.6*(1-0.8) = 0.6*0.2 =0.12 (?).
This is correct, though your notation is not exactly right. Don't write things like P(A)(Revision), but rather P(A), where A = revision.
I would have said, if
A = revision requested, and
B = published, then you are given P(A) = 0.6 and P(B | A) = 0.8. (Technically this assumes that getting the revision request implies that you will make the revision!)
Then you want
P(A and B') = P(A)*P(B' | A) = P(A)*(1 - P(B | A) = 0.6*0.2 = 0.12.
Binomial Probability is C(n,x)* P(A)^x * P(B)^(n-x)
This is
incorrect! It should be C(n,x)*
p^x *
q^(n-x), where p is the probability of the individual event (0.12), and q is its complement, 1-p. Did you have some reason to think what you wrote would be correct?
Thanks Mr. Steven. P, I understand, I mistake, in this situation, what will 1-P be = to? Thanks
I try more clear, if I do exactly as I did, what does that mean? What does 0.52 actually in this mean? Anything useful or with meaning?
He actually answered this question:
The complement of A and B = (A and B)' = A' U B'
That is why P(Revision and Published) ≠ 1 - P(Revision and not Published)
Taking A = revision requested, and B = published, your 1-0.48 = 0.52 is 1 - P(A and B) = P((A and B)') = P(A' U B'). That is the probability that either you don't get a revision request, or it is not published (or both).
What you wanted is P(A and B').