The management at a fast-food outlet is interested in the joint behavior of the random
variables Y1 , defined as the total time between a customer’s arrival at the store and departure
from the service window, and Y2 , the time a customer waits in line before reaching the service
window. Because Y1 includes the time a customer waits in line, we must have Y Y 1 2 ≥ . The
relative frequency distribution of observed values of Y1 and Y2 can be modeled by the joint
probability density function as
( ) 1
2 1
1 2
0 , , 0 elsewhere.
y
f e y y
y y
− ≤ ≤ ≤∞ =
Then, the random variable interest is the time spent at the service window given by
UYY = −1 2 .
a) Find the probability density function of U .
[14 Marks]
b) Find E U( ) .
[3 Marks]
c) Find V U( ).
[3 Marks]
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(Q6) The management at a fast-food outlet is interested in the joint behaviour of the random variables Yı, defined as the total time between a customer's arrival at the store and departure from the service window, and Y2, the time a customer waits in line before reaching the service window. Because Yſ includes the time a customer waits in line, we must have Yi > Y. The relative frequency distribution of observed values of Yi and Y2 can be modelled...
Suppose that Y1 is the total time between a customer's arrival in the store and departure from the service window, Y2 is the time spent in line before reaching the window, and the joint density of these variables is f(y1, y2) = e−y1, 0 ≤ y2 ≤ y1 < ∞, 0, elsewhere. We were unable to transcribe this image(a) Find the marginal density function for Y. f. (Y) = , where y, 21 Find the marginal density function for Y,...
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