Suppose i) the moment generating function technique to find the probability distribution Write down the density function of Y. ii) the Central Limit Theorem to compute P(40

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A
a)
Let X₁, X₂, X3,..., X30 be a random sample of size 30 from a population distributed with the
following probability density function:
S
b)
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).
Let Z
-N(0,1), for i=1,2,3,...,10, then:
a
f(x) =
Xx N (0,1), and W
OX
e, if 0 < x <∞
otherwise
Σε
St, w₁²
i) State, with parameter(s), the probability distribution of the statistic, T =
21=1
ii) Find the mean and variance of the statistic T
10
V10
41=1 212
iii) Calculate the probability that a statistic T = Z, +W, is at most 4.
6°C
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: S b) 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). Let Z -N(0,1), for i=1,2,3,...,10, then: a f(x) = Xx N (0,1), and W OX e, if 0 < x <∞ otherwise Σε St, w₁² i) State, with parameter(s), the probability distribution of the statistic, T = 21=1 ii) Find the mean and variance of the statistic T 10 V10 41=1 212 iii) Calculate the probability that a statistic T = Z, +W, is at most 4. 6°C
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