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Continuous random variable
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Past exam of the year 1 of the computer science course of the University of Oxford
/
2015
/
Discrete mathematics, continuous mathematics, and probability
/
9
/
a
/
i
/
Solution
2026-10-31
View more
For
a
continuous random variable
with
probability density function
f
X
, its
mean
is
μ
=
E
[
X
]
=
∫
−
∞
∞
x
f
X
(
x
)
d
x
,
(1)
provided
∫
−
∞
∞
∣
x
∣
f
X
(
x
)
d
x
<
∞
. Its
variance
is the
expectation
of the squared deviation from its
mean
:
var
(
X
)
=
E
[(
X
−
μ
)
2
]
=
∫
−
∞
∞
(
x
−
μ
)
2
f
X
(
x
)
d
x
.
(2)
This is finite when
E
[
X
2
]
<
∞
; otherwise it may be
+
∞
if the finite
mean
exists.
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