In: Statistics and Probability
I
(a)
P(1/2 X 3/2) = F(3/2) - F(1/2)
= (1/2) * (3/2) - (1/2) * (1/2) {F(x) = x/2 for 0 x 2}
= (3/4) - (1/4)
= 1/2
(b)
P(1 X < 2) = F(2) - F(1)
= (1/2) * 2 - (1/2) * 1 {F(x) = x/2 for 0 x 2}
= 1 - (1/2)
= 1/2
(c)
Y X
=> X2 X
=> X - X2 0
=> X (1 - X) 0
which is true if X 0 and X 1 (or 0 X 1)
or X 0 and X 1 (which is not possible at the same time.)
Thus,
P(Y X ) = P(0 X 1) = F(1) - F(0)
= (1/2) * 1 - (1/2) * 0
= 1/2
d)
X 2Y
=> X 2X2
=> 2X2 - X 0
=> X (2X-1) 0
which is true if X 0 and X 1/2 (=> X 1/2)
or X 0 and X 1/2 (=> X 0)
Thus,
P(X 2Y ) = P(X 1/2) + P(X 0) = 1 - P(X 1/2) + 0 {F(X) = 0 for X < 0}
= 1 - F(1/2)
= 1 - (1/2) * (1/2)
= 1 - (1/4)
= 3/4
(e)
X + Y 3/4
=> X + X2 3/4
=> X2 + X - (3/4) 0
=> X2 + X - (3/4) 0
=> (X + 3/2) (X - 1/2) 0
which is true if X -3/2 and X 1/2 (which is not possible at the same time.)
or X -3/2 and X 1/2 (or -3/2 X 1/2)
Thus,
P(X + Y 3/4 ) = P(-3/2 X 1/2) = F(1/2) - F(-3/2)
= (1/2) * (1/2) - 0 {F(x) = 0 for X < 0 and F(x) = x/2 for 0 x 2)
= 1/4