In: Statistics and Probability
An urn contains five black marbles and one orange marbles. Four marbles are drawn out one at a time. For each marble, if it is black the marble is set aside, but if it is orange it is returned to the urn before the next marble is drawn. Let X be the number of black marbles drawn from the urn. Find the probability distribution for X and find the expectation value and variance of X
Number of black marble = 5.
Number of orange marble = 1.
Total number of marbles = 6.
We have to draw four marble one each at a time .
We draw orange marble with replacement ( i.e Orange marble replaced back to the urn before the next draw.)
and we draw black marbles without replacement ( i.e. Black marble does not replaced back to the urn before the next draw.
Consider the outcomes
O : Orange and B : Black.
The Possible outcomes ( sample space) is
S = { OOOO, OOOB, OOBO, OBOO, BOOO, OOBB, OBOB, OBBO, BOOB, BOBO, BBOO, OBBB, BOBB, BBOB, BBBO, BBBB }
Outcomes | Probability | Number of Black Marbles |
OOOO | (1/6)*(1/6)*(1/6)*(1/6)= 1/ 1296 | 0 |
OOOB | (1/6)*(1/6)*(1/6)*(5/6) = 5 /1296 | 1 |
OOBO | (1/6)*(1/6)*(5/6)*(1/5) = 1/216 | 1 |
OBOO | (1/6) *(5/6) * (1/5) * (1/5) =1/180 | 1 |
BOOO | (5/6) * (1/5) * (1/5) * (1/5) = 1/150 | 1 |
OOBB | (1/6)*(1/6) *(5/6) *(4/5)=4/216 | 2 |
OBOB | (1/6)*(5/6)*(1/5)*(4/5) = 4 / 180 | 2 |
OBBO | (1/6) * (5/6) * (4/5) * (1/4) =1/36 | 2 |
BOBO | (5/6) * (1/5) * (4/5) * (1/4)= 1/30 | 2 |
BOOB | (5/6) * ( 1/5) * (1/5) * (4/5) = 4/150 | 2 |
BBOO | (5/6) * ( 4/5) * (1/4) * (1/4) =1/24 | 2 |
OBBB | (1/6) * (5/6) * (4/5) * (3/4) = 3/36 | 3 |
BOBB | (5/6) * (1/5) * (4/5) * (3/4) = 3/30 | 3 |
BBOB | (5/6)*(4/5)*(1/4) * (3/4) = 3/24 | 3 |
BBBO | (5/6) * (4/5) * (3/4) * (1/3) = 1/6 | 3 |
BBBB | (5/6) * (4/5) * (3/4) * ( 2/3) = 1/3 | 4 |
Let X denotes the number of black marbles
X takes values 0,1, 2, 3 ,4.
P ( X =0) = 1/1296 = 0.000772.
P(X=1 ) = (5/1296) + ( 1/216) + ( 1/180) + ( 1/150) = 0.02071
P(X=2) = (4 / 216)+ ( 4 / 180) + (1/36) + ( 1/30 ) + (4/150) + ( 1/ 24)=0.170185
P(X=3) = ( 3/36 ) + ( 3/30 ) + ( 3/24 ) + ( 1/3) = 0.475000
P(X=4) = 1/3 = 0.333333
Hence the probability distribution of X is
x | Probability | x*p | x^2*p |
0 | 0.0008 | 0.0000 | 0.0000 |
1 | 0.0207 | 0.0207 | 0.0207 |
2 | 0.1702 | 0.3404 | 0.6807 |
3 | 0.4750 | 1.4250 | 4.2750 |
4 | 0.3333 | 1.3333 | 5.3333 |
Total | 1.000000 | 3.119412 | 10.309778 |
Expected value of X =3.1194
Variance of X
Variance of X = 0.579122