Chapter 4: Q 3E (page 255)
Suppose thatXhas the uniform distribution on the interval (−2,2) andY=\({X^6}\). Show thatXandYare uncorrelated.
Short Answer
X and Y are uncorrelated.
/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none}
Learning Materials
Features
Discover
Chapter 4: Q 3E (page 255)
Suppose thatXhas the uniform distribution on the interval (−2,2) andY=\({X^6}\). Show thatXandYare uncorrelated.
X and Y are uncorrelated.
All the tools & learning materials you need for study success - in one app.
Get started for free
Suppose that a fair coin is tossed repeatedly until a head is obtained for the first time.
(a) What is the expected number of tosses that will be required?
(b) What is the expected number of tails that will be obtained before the first head is obtained?
Determine which of the three gambles in Exercise 2 would be preferred by a person whose utility function has the form\({\bf{U}}\left( {\bf{x}} \right){\bf{ = ax + b}}\)where a and b are constants\(\left( {{\bf{a > 0}}} \right)\).
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\({\bf{E}}\left( {{{\bf{X}}_{\bf{n}}}} \right)\).
Suppose that the distribution of X is symmetric around a point m. Prove that m is a median of X.
Suppose that X is a random variable for which \(E\left( X \right) = \mu \), and\(Var\left( X \right) = {\sigma ^2}\). Show that\(E\left( {X\left( {X - 1} \right)} \right) = \mu \left( {\mu - 1} \right) + {\sigma ^2}\).
What do you think about this solution?
We value your feedback to improve our textbook solutions.