4 9. Let p(x) for x > 0 (and p(x) = 0 if x < 0). T(1+(2x)²) (a) Show that p is a probability density function. (b) If X is the associated random variable, find the median of X. (c) Show that the mean of X is infinite. This is strange: A finite amount of "mass" can be distributed along the positive number line in a way that the line does not balance at any point, but instead tips infinitely hard to the right at each location.

A First Course in Probability (10th Edition)
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Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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9. Let p(x) =
for x >0 (and p(x) = 0 if x < 0).
||
T (1+ (2x)²)
(a) Show that p is a probability density function.
(b) If X is the associated random variable, find the median of X.
(c) Show that the mean of X is infinite. This is strange: A finite amount of “mass" can
be distributed along the positive number line in a way that the line does not balance at
any point, but instead tips infinitely hard to the right at each location.
99
Transcribed Image Text:4 9. Let p(x) = for x >0 (and p(x) = 0 if x < 0). || T (1+ (2x)²) (a) Show that p is a probability density function. (b) If X is the associated random variable, find the median of X. (c) Show that the mean of X is infinite. This is strange: A finite amount of “mass" can be distributed along the positive number line in a way that the line does not balance at any point, but instead tips infinitely hard to the right at each location. 99
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