Roughly, speaking, we can use probability density functions to model the likelihood of an event occurring. Formally, a probability density function on (-∞, ∞) is a function f such that f(x) > 0 and f (x) = } (a) Determine which of the following functions are probability density functions on the (-00, 00). |x-1 0 < x < e (i) f(x) = otherwise -2 0 < x < 2/2 (ii) f(x) = (x – /2)3 - otherwise dedæ 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. 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.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter9: Multivariable Calculus
Section9.4: Total Differentials And Approximations
Problem 23E: Eastern Hemlock Ring shake, which is the separation of the wood between growth rings, is a serious...
icon
Related questions
Question
Roughly, speaking, we can use probability density functions to model the likelihood of an
event occurring. Formally, a probability density function on (-o, 0) is a function f such
that
f(x) > 0
and
f(2) = 1.
(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
-
otherwise
dedæ 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. 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 (-o, 0) is a function f such that f(x) > 0 and f(2) = 1. (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 - otherwise dedæ 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. 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.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 4 images

Blurred answer
Similar questions
Recommended textbooks for you
Calculus For The Life Sciences
Calculus For The Life Sciences
Calculus
ISBN:
9780321964038
Author:
GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:
Pearson Addison Wesley,
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Trigonometry (MindTap Course List)
Trigonometry (MindTap Course List)
Trigonometry
ISBN:
9781337278461
Author:
Ron Larson
Publisher:
Cengage Learning