Show that the jointly continuous (discrete) random variables X 1 , ... , X n are independent if and only if their joint probability density (mass) function f ( x 1 , ... , x n ) can be written as f ( x 1 , ... , x n ) = ∏ i = 1 n g i ( x i ) for nonnegative functions g i ( x ) , i = 1 , ... , n .
Show that the jointly continuous (discrete) random variables X 1 , ... , X n are independent if and only if their joint probability density (mass) function f ( x 1 , ... , x n ) can be written as f ( x 1 , ... , x n ) = ∏ i = 1 n g i ( x i ) for nonnegative functions g i ( x ) , i = 1 , ... , n .
Solution Summary: The author explains how to prove the given equation with the help of given information. The joint continuous random variable X1,mathrm.......Xn is independent.
Show that the jointly continuous (discrete) random variables
X
1
,
...
,
X
n
are independent if and only if their joint probability density (mass) function
f
(
x
1
,
...
,
x
n
)
can be written as
f
(
x
1
,
...
,
x
n
)
=
∏
i
=
1
n
g
i
(
x
i
)
for nonnegative functions
g
i
(
x
)
,
i
=
1
,
...
,
n
.
Pam, Rob and Sam get a cake that is one-third chocolate, one-third vanilla, and one-third strawberry as shown below. They wish to fairly divide the cake using the lone chooser method. Pam likes strawberry twice as much as chocolate or vanilla. Rob only likes chocolate. Sam, the chooser, likes vanilla and strawberry twice as much as chocolate. In the first division, Pam cuts the strawberry piece off and lets Rob choose his favorite piece. Based on that, Rob chooses the chocolate and vanilla parts. Note: All cuts made to the cake shown below are vertical.What pieces would Sam choose based on the Pam and Rob's second division of their own pieces?
Please plot graphs to represent the functions
EXAMPLE 6.2
In Example 5.4, we considered the random variables Y₁ (the proportional amount
of gasoline stocked at the beginning of a week) and Y2 (the proportional amount of
gasoline sold during the week). The joint density function of Y₁ and Y2 is given by
3y1, 0 ≤ y2 yı≤ 1,
f(y1, y2) =
0,
elsewhere.
Find the probability density function for U = Y₁ - Y₂, the proportional amount of
gasoline remaining at the end of the week. Use the density function of U to find E(U).
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Continuous Probability Distributions - Basic Introduction; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=QxqxdQ_g2uw;License: Standard YouTube License, CC-BY
Probability Density Function (p.d.f.) Finding k (Part 1) | ExamSolutions; Author: ExamSolutions;https://www.youtube.com/watch?v=RsuS2ehsTDM;License: Standard YouTube License, CC-BY
Find the value of k so that the Function is a Probability Density Function; Author: The Math Sorcerer;https://www.youtube.com/watch?v=QqoCZWrVnbA;License: Standard Youtube License