9) here as sum of probabilities of all sample space =1
hence (1/10+2/10+..+n/10)=1
n*(n+1)/20 =1
n*(n+1)=20
from above n=4
x | f(x) | xP(x) | x2P(x) |
1 | 0.100 | 0.100 | 0.100 |
2 | 0.200 | 0.400 | 0.800 |
3 | 0.300 | 0.900 | 2.700 |
4 | 0.400 | 1.600 | 6.400 |
total | 3.000 | 10.000 | |
E(x) =μ= | ΣxP(x) = | 3.0000 | |
E(x2) = | Σx2P(x) = | 10.0000 | |
Var(x)=σ2 = | E(x2)-(E(x))2= | 1.0000 |
E(Y)=3
Var(Y)=1.00
E(17Y-)=17*E(Y)-=17*3- =51-
E(1/Y)=(1/1)*(1/10)+(1/2)*(2/10)+(1/3)*(3/10)+(1/4)*(4/10)=0.4
10)
here this is binomial distribution with parameter n=2 and p=0.1
mean =np=2*0.1=0.2
variance =np(1-p)=2*0.1*(1-0.1)=0.18
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