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Suppose Y follows a distribution with density function: f(y)={101846(100–y)? if(0<y<100) otherwise (Note: for this question y

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Answer #1

The given PDF is f(y) = y0(100 - y)2,0<y< 100 .

1) The condition for valid PDF is

100 f(y)dy = 1 100 k Jo y (100 - y)dy = 1 k 7100 1018 yº(100 - y){dy = 1 1018 (100²y6 – 200y? + y8)dy = 1 1018(100%? 17 – 200

The probability,

80 P(70<Y < 80) = f(y)dy P(70 <Y <80) = 1 1613Y®(100 – y)?dy P(70<Y <80) = 0.2754

and

100 P(Y> 80) = [ f(y)dy PLY >80) = 15 161BY®(100 – y)?dy 100K P(Y > 80) = 0.2618

The probability that the person dies between 70 and 80  is higher.

2) The conditional probability,

PY >80 n Y >60) P(Y > 80|Y > 60) = ? P(Y > 60) P(Y > 801Y > 60) - P(Y> 80) PY > 60) 0.2618 P(Y > 801Y > 60) = -1 560 1615(100

3) f(y) = y0(100 - y)2,0<y< 100 is maximized when

d Ply) = 0 y®(100 - y)2 = 0 6y5(100 - y)2 – 2y6 (100 - y) = 0 6(100-y)- 2y = 0 dy y = 75

4) The expected value of the distribution is

100 100 k 7100 E(Y) = 6 yf(y)dy E(Y) = 1618V (100 - y}dy E(Y) = 1616 y’(100-y)?dy = 1 E(Y) = 1618 (100?y? – 20048 + yº)dy E(Y

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