Three stores have 8, 12, and 15 employees of whom 3, 8, and 7, respectively, are women.
(i) A store is chosen at random and from that store an employee is chosen at random. If this employee is a woman, what is the probability she came from the store with 12 employees?
(ii) If a second employee is chosen from the same store in (i), what is the probability that a woman will be chosen? Assume that the employee chosen in (i) was a woman and we don’t know which store she came from.
[7 marks]
1
Expert's answer
2011-11-24T09:11:27-0500
Consider the events: A - the store with 8 employees is chosen, B - the store with 12 employees is chosen, A - the store with 15 employees is chosen, W - employee is a woman.
ii) Let's first calculate P(A|W) and P(C|W) like in part i): P(A|W) = (3/8*1/3) / (3/8 + 8/12 + 7/15) = 45/543. P(C|W) = (7/15*1/3) / (3/8 + 8/12 + 7/15) = 56/543.
Using the law of total probability, we get: P(W) = P(W|A)*P{the first woman was from A} + P(W|B)*P{the first woman was from B} + P(W|C)*P{the first woman was from C} = 2/8*45/543 + 7/12*80/543 + 6/15*56/543 = 1/543*(45/4 + 140/3 + 112/5) = 4819/(543*60) = 0.148...
Dear tope. Your comment is not related to question 5219, but it is the
same as question 53385, which is in progress. Please wait for updates.
tope
13.07.15, 14:38
The following data show systolic blood pressure levels (mm Hg) of a
random sample of six patients undergoing a particular drug therapy for
hypertension. 182 179 154 161 170 151 Can we conclude, on the basis of
these data, that the population mean is greater than 165? Hint: Use an
appropriate parametric test, at the 5% significance level.
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Dear tope. Your comment is not related to question 5219, but it is the same as question 53385, which is in progress. Please wait for updates.
The following data show systolic blood pressure levels (mm Hg) of a random sample of six patients undergoing a particular drug therapy for hypertension. 182 179 154 161 170 151 Can we conclude, on the basis of these data, that the population mean is greater than 165? Hint: Use an appropriate parametric test, at the 5% significance level.
Leave a comment