Like so, the normality assumption can be evaluated by superimposing a normal curve over a histogram of observed values like we saw here. 24 7. A random variable
X
{\displaystyle X}
has density
here X
{\displaystyle f_{X}}
, where
f
X
{\displaystyle f_{X}}
is a non-negative Lebesgue-integrable function, if:
Hence, if
F
X
{\displaystyle F_{X}}
is the cumulative distribution function of
X
{\displaystyle X}
, then:
Intuitively, one can think of
f
X
(
x
)
d
x
{\displaystyle f_{X}(x)\,dx}
as being the probability of
X
{\displaystyle X}
falling within the infinitesimal interval
[
x
,
x
+
d
x
]
{\displaystyle [x,x+dx]}
. .