Consider a company that has two different divisions. The annual profits from the two divisions are independent and have distributions Profit1 ~ N(5, 32) and Profit2 ~ N(7, 42) respectively. Both the profits are in $ Million. Answer the following questions about the total profit of the company in Rupees. Assume that $1 = Rs. 45
A. Specify a Rupee range (centered on the mean) such that it contains 95% probability for the annual profit of the company.
B. Specify the 5th percentile of profit (in Rupees) for the company
C. Which of the two divisions has a larger probability of making a loss in a given year?
Answers
Step-by-step explanation:
Consider a company that has two different divisions. The annual profits from the two divisions are independent and have distributions Profit1 ~ N(5, 3^2) and Profit2 ~ N(7, 4^2) respectively. Both the profits are in $ Million. Answer the following questions about the total profit of the company in Rupees. Assume that $1 = Rs. 45 A. Specify a Rup…
Answer:
Mean Profit of Company in rupees = 12 * 45 = 540 Million
Step-by-step explanation:
Answer:-
Diivision1 = Profit1 ~ N (5, 32) = N (Ẋ1=5, S1 2= 32) , Division2 = Profit2 ~ N (7, 42) = N (Ẋ2=7, S22 = 42)
µ = Company = (Profit1 + Profit2) = Mean Profit of Diivision1 + Division2
= 5 + 7 = 12
Specify a Rupee range (centered on the mean) such that it contains 95% probability for the annual profit of the company.
Ans :- Specify a Rupee range (centered on the mean) such that it contains 95% probability for the annual profit of the company.
Variance of the Company Distribution =σ^2 = 32 + 42 = 9 + 16 = 25 = 52
Standard Deviation of the Company Distribution = σ = √(5^2 ) = 5
Confidence Level = CL = 0.95
Therefore, Confidence Interval = CI = µ ± Zα/2= 0.025(σ)
= 540 ± 1.96(225)
= (99,981) In Millions
Specify the 5th percentile of profit (in Rupees) for the company
Ans :- Specify the 5th percentile of profit (in Rupees) for the company
To calculate 5th percentile from Z table Zα/2= 0.05 = -1.645
5th percentile = µ - Zα/2= 0.05(σ)
= 540 – 1.645(225)
= 169.87 Million