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Probability, Bayes, TheoremThe Question is:Suppose that 400 pregnant women take a home pregnancy test, and 397 of them test "positive" and the other 3 test "negative." Suppose also that 200 nonpregnant women take the test, and 184 of them test "negative" and the remaining 16 test "positive." What is the probability that a woman who tests positive is actually pregnant?
Now, there is a lot of information included in this problem and I am clueless on what to do with all these numbers.
Which two variables have the strongest strength of relationship?
find the probability that his or her birthday is not in May. If a person is randomly selected, find the probability that his or her birthday is not in May.
The probability that federal income tax returns will have 0,1, or 2 errors is 0.53,0.15, and 0.32. if 10 randomly selected returns are audited
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Discrete Random Variable Defined on a Finite Sample Space. a) Prove that if X is a discrete random variable defined on a finite sample space, S, then we have E(X) = SUM X(a) P({a}).
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