Suppose that X₁, X₂, X3 X is a random sample of n from population X which has a chi- square distribution with one degrees of freedom. (i) Find lim Mg(t). 819 (ii) Use the Central Limit Theorem to compute P(0.5<<1.5), for n = 30. (ii) Use the Chebychev inequality to find the value of k for P(0.5 < X < 1.5), if n = 30.

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a)
b)
Suppose that X₁, X₂, X3.....X is a random sample of n from population X which has a chi-
square distribution with one degrees of freedom.
(i) Find lim Mg(t).
(ii) Use the Central Limit Theorem to compute P(0.5 <<1.5), for n = 30.
(iii) Use the Chebychev inequality to find the value of k for P(0.5 < X < 1.5), if n = 30.
Let X₁, X₂, X₁X be a random sample of n from population X distributed with the following
probability density function:
f(x:0)=√20
0,
if -∞<x<∞
otherwise
(i)
Find the parameter space of 0.
(ii) Find the maximum likelihood estimator of 0.
(iii) Check whether or not the estimator obtained in (ii) is unbiased
(iv) Find the Fisher information in this sample of size n about the parameter 6.
Transcribed Image Text:a) b) Suppose that X₁, X₂, X3.....X is a random sample of n from population X which has a chi- square distribution with one degrees of freedom. (i) Find lim Mg(t). (ii) Use the Central Limit Theorem to compute P(0.5 <<1.5), for n = 30. (iii) Use the Chebychev inequality to find the value of k for P(0.5 < X < 1.5), if n = 30. Let X₁, X₂, X₁X be a random sample of n from population X distributed with the following probability density function: f(x:0)=√20 0, if -∞<x<∞ otherwise (i) Find the parameter space of 0. (ii) Find the maximum likelihood estimator of 0. (iii) Check whether or not the estimator obtained in (ii) is unbiased (iv) Find the Fisher information in this sample of size n about the parameter 6.
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