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#1
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I know I've seen things that look similar to this discussed in the Course 3 threads. If you know how to do it and can explain it in Course 1 terms, please help Packet Storm and me by posting your response in this Course 1 thread. Thanks.
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#2
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I hope I did this right. You need to set it up realizing they are looking for Pr(S >= 400,000) = 0.95. So, to normalize it, you must find E(S) and Var(S).
E(X) = (0.14)(c) + (0.05)(2c) + (0.02)(3c) + (0.03)(4c) + (0.76)(0c) = 0.42c E(X^2) = (0.14)(c^2) + (0.05)[(2c)^2] + (0.02)[(3c)^2] + (0.03)[(4c)^2] = c^2 Var(X) = E(X^2) - E(X) = c^2 - (0.42c)^2 = 0.8236c^2 E(N) = Var(N) = 200 (since it is Poisson) E(S) = E(X)E(N) = (0.42c)(200) = 84c Var(S) = Var(N)E(X^2) = 200c^2 (since it is Poisson) So, Pr(S >= 400,000) = Pr(Z >= [400,000 - E(S)]/[Var(S)^(0.5)]) = Pr(Z >= (400,000 - 84c)/[(200c^2)^(0.5)]) (400,000 - 84c)/[(200c^2)^(0.5)] = 1.645 After doing the algebra, you get c = 3729.12. Therefore, E(X) = (0.42)(3729.12) = 1566.23 and E(S) = E(X)(200) = 313,246.37. |
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#3
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You made one mistake: you calculated the c that made the probabity c<= 400,000 = .95.
This can be seen as your mean salary is well below 400k. Try Mean minus 1.645 standards of distribution - this would mean that 95% of the time, the salary was higher. Now you get 84C - 1.645 (200^.5)C = 400,000 60.736C = 400,000 C = 6,585.86 E(200X) = 553,212.21 Pr(S(200)>=400,000) = .95 |
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