Chapter 4: Q4.4-2E (page 240)
IfXhas the uniform distribution on the interval [a, b], write a formula for every even central moment ofX.
Short Answer
The fifth central moment of X is 0.
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Chapter 4: Q4.4-2E (page 240)
IfXhas the uniform distribution on the interval [a, b], write a formula for every even central moment ofX.
The fifth central moment of X is 0.
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Suppose that X and Y are random variables such that
\(E\left( {Y|X} \right) = aX + b\)Assuming that\(Cov\left( {X,Y} \right)\)exists and that\(0 < Var\left( X \right) < \infty \), determine expressions for a and b in terms of\(E\left( X \right)\),\(E\left( Y \right)\)and\(Cov\left( {X,Y} \right)\).
Suppose thatXis a random variable for which the m.g.f. is as follows:\(\psi \left( t \right) = \frac{1}{5}{e^t} + \frac{2}{5}{e^{4t}} + \frac{2}{5}{e^{8t}}\)for−∞< t <∞.Find the probability distribution ofX. Hint:It is a simple discrete distribution.
Suppose that the random variable X has to mean\(\mu \), and variance\({\sigma ^2}\)and that\(Y = aX + b\)Determine the values of a and b for which\(E\left( Y \right) = 0\)and\(Var\left( Y \right) = 1\)
Let X be a random variable having the binomial distribution with parameters \(n = 7\)and\(p = \frac{1}{4}\), and let Y be a random variable having the binomial distribution with parameters \(n = 5\) and \(p = \frac{1}{2}\). Which of these two random variables can be predicted with the smaller M.S.E?
Suppose that a point\({{\bf{X}}_{\bf{1}}}\)is chosen from the uniform distribution on the interval\(\left( {{\bf{0,1}}} \right)\)and that after the value\({{\bf{X}}_{\bf{1}}}{\bf{ = }}{{\bf{x}}_{\bf{1}}}\)is observed, a point\({{\bf{X}}_{\bf{2}}}\)is chosen from a uniform distribution on the interval\(\left( {{{\bf{x}}_{\bf{1}}}{\bf{,1}}} \right)\). Suppose further that additional variables\({{\bf{X}}_{\bf{3}}}{\bf{,}}{{\bf{X}}_{\bf{4}}}{\bf{,}}...\)are generated in the same way. Generally,\({\bf{j = 1,2,}}...{\bf{,}}\)after the value\({{\bf{X}}_{\bf{j}}}{\bf{ = }}{{\bf{x}}_{\bf{j}}}\)has been observed,\({{\bf{X}}_{{\bf{j + 1}}}}\)is chosen from a uniform distribution on the interval\(\left( {{{\bf{x}}_{\bf{j}}}{\bf{,1}}} \right)\). Find the value of\({\bf{E}}\left( {{{\bf{X}}_{\bf{n}}}} \right)\).
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