(a) Determine which of the following functions are probability density functions on the (-00, 00). x- 0 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. rf(x) da yields the expected value for a density f(x) with domain on the real numbers.) Find the expected value for one of the valid probability densities above.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter1: Functions
Section1.2: Functions Given By Tables
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Roughly, speaking, we can use probability density functions to model the likelihood of an
event occurring. Formally, a probability density function on (-0, 0) is a function f such
that
f(x) > 0
and
| f(x) = 1.
%3D
(a) Determine which of the following functions are probability density functions on the
(-0, 00).
(i) ƒ(x) =
0.
ə > x > 0 1-x]
otherwise
-2
0 < x < 2/2
(ii) f(x) = { (x– v2)3
%3D
otherwise
dedze
0 < x < ∞
(iii) f(x) =
0.
otherwise
where X> 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. Srf(x) dx yields the
expected value for a density f(x) with domain on the real numbers.) Find the expected
value for one of the valid probability densities above.
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, 0) is a function f such that f(x) > 0 and | f(x) = 1. %3D (a) Determine which of the following functions are probability density functions on the (-0, 00). (i) ƒ(x) = 0. ə > x > 0 1-x] otherwise -2 0 < x < 2/2 (ii) f(x) = { (x– v2)3 %3D otherwise dedze 0 < x < ∞ (iii) f(x) = 0. otherwise where X> 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. Srf(x) dx yields the expected value for a density f(x) with domain on the real numbers.) Find the expected value for one of the valid probability densities above.
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