6. Roughly, speaking, we can use probability density functions to model the likelihood of an event occurring. Formally, a probability density function on (-0o, 00) is a function f such that f(x) 2 0 and f(x) = 1. %3D (a) Determine which of the following functions are probability density functions on the (-00, 00). 0 < x < e (i) f(x) = otherwise -2 0 < x < 2/2 (ii) f(x) = (x - v2)3 0. otherwise leta 0 0

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Chapter1: Functions
Section1.2: Functions Given By Tables
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6. Roughly, speaking, we can use probability density functions to model the likelihood of an
event occurring. Formally, a probability density function on (-oo, 00) is a function f 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<x < e
(i) ƒ(x) =
10
otherwise
-2
0 < x < 2v2
(ii) f(x) = { (x – v2)3
0.
otherwise
Aeda 0<x < ∞
dedzo
(iii) f(x) =
0.
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. xf(x) dr 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:6. Roughly, speaking, we can use probability density functions to model the likelihood of an event occurring. Formally, a probability density function on (-oo, 00) is a function f 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<x < e (i) ƒ(x) = 10 otherwise -2 0 < x < 2v2 (ii) f(x) = { (x – v2)3 0. otherwise Aeda 0<x < ∞ dedzo (iii) f(x) = 0. 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. xf(x) dr 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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