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 ƒ such that f(x) > 0 and | f(x) = 1. (a) Determine which of the following functions are probability density functions on the (-0, 00). x-1 0 0

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Author:Bruce Crauder, Benny Evans, Alan Noell
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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 ƒ such
that
f(x) > 0
and
| f(x) = 1.
(a) Determine which of the following functions are probability density functions on the
(-0, 00).
0 < x < e
(i) f(x) =
otherwise
-2
0 < x < 2/2
(ii) ƒ(x) =
(x – /2)3
otherwise
dedx 0<x <∞
(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. L xf(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 ƒ such that f(x) > 0 and | f(x) = 1. (a) Determine which of the following functions are probability density functions on the (-0, 00). 0 < x < e (i) f(x) = otherwise -2 0 < x < 2/2 (ii) ƒ(x) = (x – /2)3 otherwise dedx 0<x <∞ (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. L xf(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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