Suppose that (X. Y) is the outcome of an experiment that must occur in a particular region S in the xy —plane. In this context, the region S is called the sample space of the experiment and X and Y are random variables. If D is a region included in S. then the probability of (X. Y) being in D is defined as P [ ( X , Y ) ∈ D ] = ∬ D p ( x , y ) d x d y . where p(x. y) is the joint probability density of the experiment. Here, p ( x , y ) is a nonnegative function for which ∬ D p ( x , y ) d x d y = 1 . Assume that a point (X, Y) is chosen arbitrarily in the square [ 0 , 3 ] × [ 0 , 3 ] with the probability density p ( x , y ) = { 0 otherwise . 1 9 ( x , y ) ∈ [ 0 , 3 ] × [ 0 , 3 ] } , Find the probability that the point (X. Y) is inside the unit square and interpret the result.
Suppose that (X. Y) is the outcome of an experiment that must occur in a particular region S in the xy —plane. In this context, the region S is called the sample space of the experiment and X and Y are random variables. If D is a region included in S. then the probability of (X. Y) being in D is defined as P [ ( X , Y ) ∈ D ] = ∬ D p ( x , y ) d x d y . where p(x. y) is the joint probability density of the experiment. Here, p ( x , y ) is a nonnegative function for which ∬ D p ( x , y ) d x d y = 1 . Assume that a point (X, Y) is chosen arbitrarily in the square [ 0 , 3 ] × [ 0 , 3 ] with the probability density p ( x , y ) = { 0 otherwise . 1 9 ( x , y ) ∈ [ 0 , 3 ] × [ 0 , 3 ] } , Find the probability that the point (X. Y) is inside the unit square and interpret the result.
Suppose that (X. Y) is the outcome of an experiment that must occur in a particular region S in the xy —plane. In this context, the region S is called the
sample space of the experiment and X and Y are random variables. If D is a region included in S. then the
probability of (X. Y) being in D is defined as
P
[
(
X
,
Y
)
∈
D
]
=
∬
D
p
(
x
,
y
)
d
x
d
y
. where p(x. y) is the joint probability density of the experiment. Here,
p
(
x
,
y
)
is a nonnegative function for which
∬
D
p
(
x
,
y
)
d
x
d
y
=
1
.
Assume that a point (X, Y) is chosen arbitrarily in the square
[
0
,
3
]
×
[
0
,
3
]
with the probability density
p
(
x
,
y
)
=
{
0
otherwise
.
1
9
(
x
,
y
)
∈
[
0
,
3
]
×
[
0
,
3
]
}
, Find the
probability that the point (X. Y) is inside the unit square and interpret the result.
Definition Definition For any random event or experiment, the set that is formed with all the possible outcomes is called a sample space. When any random event takes place that has multiple outcomes, the possible outcomes are grouped together in a set. The sample space can be anything, from a set of vectors to real numbers.
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