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Descriptive Statistics
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Statistics
New in 6.0: Mathematics & Algorithms
New in 6.0: Statistics
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PDF
PDF
[
dist
,
x
]
gives the probability density function for the symbolic distribution
dist
evaluated at
x
.
PDF
[
dist
]
gives the PDF as a pure function.
MORE INFORMATION
For continuous distributions,
PDF
[
dist
,
x
]
dx
gives the probability that an observed value will lie between
x
and
x
+
dx
for infinitesimal
dx
.
For discrete distributions,
PDF
[
dist
,
x
]
gives the probability that an observed value will be
x
.
EXAMPLES
CLOSE ALL
Basic Examples
(3)
The PDF of a normal distribution with zero mean and unit standard deviation:
In[1]:=
Out[1]=
The PDF of a hypergeometric distribution:
In[1]:=
Out[1]=
The PDF of a Poisson distribution as a pure function:
In[1]:=
Out[1]=
Scope
(4)
Applications
(2)
Properties & Relations
(4)
Possible Issues
(1)
SEE ALSO
CDF
ExpectedValue
Mean
BinCounts
TUTORIALS
Discrete Distributions
Continuous Distributions
MORE ABOUT
Descriptive Statistics
Statistical Distributions
Statistics
New in 6.0: Mathematics & Algorithms
New in 6.0: Statistics
New in 6
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