6. The amount of kerosene, in thousands of liters, in a tank at the be ginning of any day is a random amount Y from which a random amount X is sold during that day. Suppose that the tank is not resupplied during the day so that X SY, and assume that the joint density function of these variables is f(x, y) = {" {2,0 < x < y<1 0, ot herwise a) Determine if X and Y are independent b) Find P < x < IY =5

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6. The amount of keros ene, in thousands of liters, in a tank at the beginning of any day is a
random amount Y from which a random amount X is sold during that day. Suppose that
the tank is not resupplied during the day so that X < Y, and assume that the joint density
52,0 < x < y<1
0, ot herwise
function of these variables is f(x, y) :
a) Determine if X and Y are independent
b) Find P(< x <1Y = }
7. If a dealer's profit, in units of $5000, on a new automobile can be looked upon as a
random variable X having the density function f(x) = {2(1 – x),0< x < 1
0, otherwise
Find the
avera ge profit per automobile.
8. Let X and Y be random variables with joint density function
f(x,y) = {4xy,0 <<x,y<1
0, ot herwise
. Find the expected value of Z = VX² +Y².
9. The length of time, in minutes, for an airplane to obtain clearance for takeoff at a certain
airport is a random variable Y = 3X – 2, where X has the density function f(x) =
ie¾,x > 0
lo, elsewhere
Find the mean and variance of random variable Y.
10. On a laboratory assignment, if the equipment is working, the density function of the
{2(1– x),0 < x < 1
observed outcome X isƒ(x) ={ 0,otherwise
Find the variance and standard
deviation of X.
Transcribed Image Text:6. The amount of keros ene, in thousands of liters, in a tank at the beginning of any day is a random amount Y from which a random amount X is sold during that day. Suppose that the tank is not resupplied during the day so that X < Y, and assume that the joint density 52,0 < x < y<1 0, ot herwise function of these variables is f(x, y) : a) Determine if X and Y are independent b) Find P(< x <1Y = } 7. If a dealer's profit, in units of $5000, on a new automobile can be looked upon as a random variable X having the density function f(x) = {2(1 – x),0< x < 1 0, otherwise Find the avera ge profit per automobile. 8. Let X and Y be random variables with joint density function f(x,y) = {4xy,0 <<x,y<1 0, ot herwise . Find the expected value of Z = VX² +Y². 9. The length of time, in minutes, for an airplane to obtain clearance for takeoff at a certain airport is a random variable Y = 3X – 2, where X has the density function f(x) = ie¾,x > 0 lo, elsewhere Find the mean and variance of random variable Y. 10. On a laboratory assignment, if the equipment is working, the density function of the {2(1– x),0 < x < 1 observed outcome X isƒ(x) ={ 0,otherwise Find the variance and standard deviation of X.
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