Given is the probability of dective item = 2/5 = 0.4 = p
say
So the probability of not getting the deffective item
in a draw = 1-2/5 = 0.6 = q = (1-p) say . Also 0 < p , q <
1
The probability of getting the 1st defective in the 1st
draw = 0.4.
Probability drawing the 1st defective in the
2nd draw = P(not getting defective in the 1st draw)*P(getting a defective in the 2nd
draw) = qp.
Probability of getting the dective in the 3rd
draw = P(failure of getting a defective in the 1st 2 draws)*P(sucess of getting a
defective in the 3rd draw.) = q^2*p
Let x denote the
number of draws to get the first defetive item.Then the probability of getting a
defetive in the nth draw = P(not getting a defective inall x-1 draw)*P(getting the 1st
defective in the nth draw) = q^(x-1)*p.
Thus the
distribution of getting the 1st defective item in the xth draw =
q^(x-1)*p.
Mean of the distribution m = E(x) = {sum
(x*q^x*p) for x = 1,2,3,.... } =
1*p+2*qp+3*q^2p+4*q^3*p+......
E(x) = p(1
+2q+3q^2+4q^3+.....)
E(x) =p(1-q)^(-2) = p/p^2 = 1/p
.
Therefore mean m = E(x) =
1/p = 1/(2/3) = 3/2.
E(x^2) =
1^2p+2^2*(qp)+3^2*(q^2p)+4^2(q^3p)+...
E(x^2) = p {
1+4*q+9q^2+16q^3+..}
E(x^2) = p {
(2-1)+(2*3-2)q+(3*4-2)q^2+(4*5-4)q^4+...}
E(x^2) = 2p
{1+2*3q+3*4q^2+4*5q^3+...}- p{1+2q+3q^2+4q^3+...}
E(x^2) =
2p(1-q)^(-3) - p(1-q)^2 = 2/p^2 -1/p
Therefore variance =
E(x^2) - (E(x))^2 = (2/p^2-1/p)-(1/p)^2
Variance =
2/p^2-1/p -1/p^2 = 1/p^2-1/p = (1-p)/p^2.
But p =
2/3.
Therefore variance =
(1-2/3)/(2/3)^2 =0.75.
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