Roughly, speaking, we can use probability density functions to model the likelihood of an vent occurring. Formally, a probability density function on (-o0, 0) is a function f such hat S(2) 2 0 and s(=) = 1. a) Determine which of the following functions are probability density functions on the (-x, 00). (i) f(x) = otherwise -2 0< z < 2v2 (ii) f(x) = { (z - v2)³ otherwise de 00
Roughly, speaking, we can use probability density functions to model the likelihood of an vent occurring. Formally, a probability density function on (-o0, 0) is a function f such hat S(2) 2 0 and s(=) = 1. a) Determine which of the following functions are probability density functions on the (-x, 00). (i) f(x) = otherwise -2 0< z < 2v2 (ii) f(x) = { (z - v2)³ otherwise de 00
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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
Transcribed Image Text:Roughly, speaking, we can use probability density functions to model the likelihood of an
event occurring. Formally, a probability density function on (-∞,0) is a function f such
that
f(2) 20
and
Lsla) = 1.
(a) Determine which of the following functions are probability density functions on the
(-00, 00).
(1-1 0<I<e
(i) f(x) =
otherwise
-2
0<1< 2/2
(ii) f(x) = { (z- /2)³
otherwise
(iii) f(x) =
otherwise
where A>0
(b) We can also use probability density functions to find the expected value of the outcomes
of the event - if we repeated a probability experiment many times, the expected value
will equal the average of the outcomes of the experiment. (e.g. zf(z) dz yields the
expected value for a density f(x) with domain on the real mumbers.) Find the expected
value for one of the valid probability densities above.
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