Let X₁, X2, X3, X30 be a random sample of size 30 from a population distributed with the following probability density function: f(x) = {e ², 1/0

MATLAB: An Introduction with Applications
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Let X₁, X₂, X3,..., X30 be a random sample of size 30 from a population distributed with the
following probability density function:
f(x):
=
otherwise
Suppose that Y = 1X₁. 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).
Let Z₁ =
XX~N(0,1), and W₁=YYN (0,1), for i = 1,2,3,...,10, then:
oy
σχ
i) State, with parameter(s), the probability distribution of the statistic, T =
ii) Find the mean and variance of the statistic T = 21, wiz
21,2,3
iii) Calculate the probability that a statistic T = Z₁ + W₁ is at most 4.
Στις 21
St, W₁²
10
iv) Find the value of ẞ such that P(T> B) = 0.01, where T = XZ₁² + 1²
Transcribed Image Text:Let X₁, X₂, X3,..., X30 be a random sample of size 30 from a population distributed with the following probability density function: f(x): = otherwise Suppose that Y = 1X₁. 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). Let Z₁ = XX~N(0,1), and W₁=YYN (0,1), for i = 1,2,3,...,10, then: oy σχ i) State, with parameter(s), the probability distribution of the statistic, T = ii) Find the mean and variance of the statistic T = 21, wiz 21,2,3 iii) Calculate the probability that a statistic T = Z₁ + W₁ is at most 4. Στις 21 St, W₁² 10 iv) Find the value of ẞ such that P(T> B) = 0.01, where T = XZ₁² + 1²
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