a) Let X₁, X2, X3,..., X30 be a random sample of size 30 from a population distributed with the following probability density function: f(x) = 2 (0, ²1, if 0

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a)
Let X₁, X2, X3,..., X30 be a random sample of size 30 from a population distributed with the
following probability density function:
f(x) = 2
e
if 0 < x < 0
otherwise
30
Suppose that Y = ΣX₁. Use
i) the moment generating function technique to find the probability distribution function of Y.
Write down the density function of Y.
ii) the Central Limit Theorem to compute P(40 <Y < 80).
iii) the Chebychev inequality to find the lower bound of P(40<Y < 80).
Transcribed Image Text:a) Let X₁, X2, X3,..., X30 be a random sample of size 30 from a population distributed with the following probability density function: f(x) = 2 e if 0 < x < 0 otherwise 30 Suppose that Y = ΣX₁. Use i) the moment generating function technique to find the probability distribution function of Y. Write down the density function of Y. ii) the Central Limit Theorem to compute P(40 <Y < 80). iii) the Chebychev inequality to find the lower bound of P(40<Y < 80).
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