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The main points discuss in the assignment are: Probability Density Function, Random Variable, Marginal Density Function, Conditional Density Function, Sample Estimates of Mean, Standard Deviation, Coefficient of Variation, Coefficient of Skewness
Typology: Exercises
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2 3 1
x f x
= -1 <^ x^ < 1
= 0 elsewhere
is a probability density function (pdf). If the function is a pdf, obtain P[0.25 < X < 0.5]
f(x) = ce
-2x x > 0
i. Obtain the value of ‘ c ’,
ii. Obtain the CDF
iii. Obtain the value of x if P[X < x] = 0.
f(x,y) = c ( 2x+y ) 0 < x < 1, 0 < y < 1
= 0 elsewhere
Obtain the constant ‘ c ’ and obtain P[X > 0.5, Y > 0.5]
joint pdf in problem no.3.
Also obtain P[X > 0.5]*P[Y > 0.5]. Is this probability the same as P[X > 0.5, Y > 0.5]?
Explain the reason.
f(x,y) = cxy 0 < x < 1, 1 < y < 2
= 0 elsewhere
i. Obtain the value of ‘ c ’,
ii. Obtain P[0.5 < X < 0.75, 0.75 < Y < 1.25]
iii. Obtain P[ X+Y < 2]
no.5.
f x y = x + y 0 < x < 1, 0 < y < 1
= 0 elsewhere
i. Obtain the conditional density function of X given Y,
ii. Obtain the conditional density function of Y given X
iii. Obtain P[0.5 < X < 0.75 | Y = 0.25]
2 , the pdf of X is
f(x) = 3e
-3x x > 0
x y f x y
= 0 <^ x^ < 1, 0 <^ y^ < 2
= 0 elsewhere
If U = X + Y and V = Y, obtain the joint pdf of U and V
f(x,y) = xy 0 < x < 1, 0 < y < 2
= 0 elsewhere
i. Obtain E(X), E(Y), E(X
2 ), E(Y
2 )
ii. Check if E(X+Y) = E(X) + E(Y) and E(XY) = E(X)E(Y).