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Built-in
Mathematica
Symbol
Discrete Distributions
Continuous Distributions
Tutorials »
|
PDF
InverseCDF
Integrate
Sum
See Also »
|
Descriptive Statistics
Statistical Distributions
Statistics
New in 6.0: Mathematics & Algorithms
New in 6.0: Statistics
More About »
CDF
CDF
[
dist
,
x
]
gives the cumulative distribution function for the symbolic distribution
dist
evaluated at
x
.
CDF
[
dist
]
gives the CDF as a pure function.
MORE INFORMATION
CDF
[
dist
,
x
]
gives the probability that an observed value will be less than or equal to
x
.
For continuous distributions,
CDF
[
dist
,
x
]
is the integral of the probability density function from the lowest value in the domain to
x
.
For discrete distributions,
CDF
[
dist
,
x
]
is the sum of the probability density function from the lowest value in the domain to
x
.
EXAMPLES
CLOSE ALL
Basic Examples
(3)
The CDF of a continuous distribution:
In[1]:=
Out[1]=
The CDF of a discrete distribution:
In[1]:=
Out[1]=
The CDF of a normal distribution as a pure function:
In[1]:=
Out[1]=
Scope
(5)
Applications
(4)
Properties & Relations
(4)
Possible Issues
(1)
SEE ALSO
PDF
InverseCDF
Integrate
Sum
TUTORIALS
Discrete Distributions
Continuous Distributions
MORE ABOUT
Descriptive Statistics
Statistical Distributions
Statistics
New in 6.0: Mathematics & Algorithms
New in 6.0: Statistics
RELATED LINKS
Demonstrations with CDF
(
Wolfram Demonstrations Project
)
New in 6