le (499) N Maps Conten Bb 491856 Bb 2/3 blackboardcdn.com/5e8cacc75e657/5534827?X-Blackboard-Expr G7 G7FX Workshop Pla... 100% Thursday class (Tut... + Suppose that X₁, X2, X3,...,Xn is a random sample of n from population X which has a c square distribution with one degrees of freedom. (i) Find lim Mx(t). 818 (ii) Use the Central Limit Theorem to compute P(0.5 < X < 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. 0, f(x;0)=√2n0 if -8 < x < ∞0 otherwise Find the parameter space of 0. Let X₁, X2, X3.....X₁, be a random sample of n from population X distributed with the f probability density function: the maximum likelihood estimator of 8. mation in this sample of size about the parameter 8. her or not the estimator obtained in (ii) is unbiased.

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Author:Amos Gilat
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Number A
comple
(499) N
Maps
Conten
a
G7 G7FX Workshop Pla...
Bb 544778
Bb 491856
2/3
tent.blackboardcdn.com/5e8cacc75e657/5534827?X-Blackboard-Expiration=16602084000008X
100%
comple
(i) Find lim Mx(t).
818
b)
Thursday class (Tut...
+ 1
Suppose that X₁, X₂, X3,...,X₂ is a random sample of n from population X which has a chi
square distribution with one degrees of freedom.
(ii) Use the Central Limit Theorem to compute P(0.5 < X < 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.
[(x; 0) =
e 20
√2n0
0,
if -∞<x<∞
otherwise
Find the parameter space of 0.
Let X₁, X2, X3.....X₁ be a random sample of n from population X distributed with the f
probability density function:
mation in this sample of size n about the parameter 8.
the maximum likelihood estimator of 0.
her or not the estimator obtained in (ii) is unbiased.
Transcribed Image Text:comple (499) N Maps Conten a G7 G7FX Workshop Pla... Bb 544778 Bb 491856 2/3 tent.blackboardcdn.com/5e8cacc75e657/5534827?X-Blackboard-Expiration=16602084000008X 100% comple (i) Find lim Mx(t). 818 b) Thursday class (Tut... + 1 Suppose that X₁, X₂, X3,...,X₂ is a random sample of n from population X which has a chi square distribution with one degrees of freedom. (ii) Use the Central Limit Theorem to compute P(0.5 < X < 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. [(x; 0) = e 20 √2n0 0, if -∞<x<∞ otherwise Find the parameter space of 0. Let X₁, X2, X3.....X₁ be a random sample of n from population X distributed with the f probability density function: mation in this sample of size n about the parameter 8. the maximum likelihood estimator of 0. her or not the estimator obtained in (ii) is unbiased.
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