Suppose X is a random variable with p(X = 0) = 4/5, p(X = 1) = 1/10, p(X = 9) = 1/10. Then
(a) Compute Var [X] and E [X].
(b) What is the upper bound on the probability that X is at least 20 obained by applying Markov’s inequality?
(c) What is the upper bound on the probability that X is at least 20 obained by applying Chebychev’s inequality?
x | P(x) | xP(x) | x2P(x) |
0 | 4/5 | 0.000 | 0.000 |
1 | 1/10 | 0.100 | 0.100 |
9 | 1/10 | 0.900 | 8.100 |
total | 1.000 | 8.200 | |
E(x) =μ= | ΣxP(x) = | 1.0000 | |
E(x2) = | Σx2P(x) = | 8.2000 | |
Var(x)=σ2 = | E(x2)-(E(x))2= | 7.200 |
a)
Var(X)=7.200
E(X)=1.00
b)
upper bound on the probability that X is at least 20 obained by applying Markov’s inequality
P(X>a) <=E(X)/a
P(X>20)<=1/20
c)
upper bound on the probability that X is at least 20 obained by applying Chebychev’s inequality
=P(X>20)=P(X-1>19)>=Var(X)/k2
P(X>20)<=7.2/19
P(X>20)<=36/95
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