Question #158765

A contractor estimates the probabilities for the number of days required to complete a certain type of project as follows:



Time (days) 1 2 3 4 5


Probability 0.04 0.21 0.34 0.31 0.10



(4) If the contractor's project cost is made up of two parts: a fixed cost of $100 million plus $10 million for each day taken to complete the project, find the variance of total project costs. (3 Marks) 



1
Expert's answer
2021-02-01T08:04:49-0500

Solution:


First, we need to find the cost for each day, using formula: f(x)=10x+100f(x)=10x +100 , where xx is the number of days. Calculating it for each day, we get the following distribution:


{ξp(ξ)}={1101201301401500.040.210.340.310.1}\begin{Bmatrix} \xi \\ p(\xi) \end{Bmatrix} = \begin{Bmatrix} 110 & 120 & 130 & 140 & 150 \\ 0.04 & 0.21 & 0.34 & 0.31 & 0.1 \end{Bmatrix}


Remembering the formula for variance:


var(ξ)=E(ξ2)(E(ξ))2var(\xi) = E(\xi^2) - (E(\xi))^2 ,


we also need to find distribution for E(ξ2)E(\xi^2) :


{ξ2p(ξ2)}={121014401690196022500.040.210.340.310.1}\begin{Bmatrix} \xi^2 \\ p(\xi^2) \end{Bmatrix} = \begin{Bmatrix} 1210 & 1440 & 1690 & 1960 & 2250\\ 0.04 & 0.21 & 0.34 & 0.31 & 0.1 \end{Bmatrix}


Next:


E(ξ)=0.04110+0.21120+0.34130+0.31140+0.1150=132.2E(\xi) = 0.04 * 110 + 0.21 * 120 + 0.34 * 130 + 0.31 * 140 + 0.1*150 = 132.2

E(ξ2)=0.0412100+0.2114400+0.3416900+0.3119600+0.122500=17580E(\xi^2) = 0.04 * 12100 + 0.21 * 14400 + 0.34 * 16900 + 0.31 * 19600 + 0.1 * 22500 = 17580


And we geat the answer:


var(ξ)=E(ξ2)(E(ξ))2=17580(132.2)2=103.16var(\xi) = E(\xi^2) - (E(\xi))^2 = 17580 - (132.2)^2 = 103.16


Answer:


var(ξ)=103.16var(\xi) =103.16


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Comments

Assignment Expert
02.02.21, 00:17

Dear Vincent.K. Miyato, You are welcome. We are glad to be helpful. If you liked our service, please press a like-button beside the answer field. Thank you!

Vincent.K. Miyato
01.02.21, 17:58

Thanks so very much experts for this solution. It was really a puzzle to me and now i get it with better understanding after attentively going through your steps.

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