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Hypothesis Testing Package
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ChiSquareCI
ChiSquareCI[
var
,
df
]
gives a confidence interval based on a
2
distribution with
df
degrees of freedom.
MORE INFORMATION
To use
ChiSquareCI
, you first need to load the
Hypothesis Testing Package
using
Needs
["HypothesisTesting`"]
.
ChiSquareCI[
var
,
df
]
gives a confidence interval
{min, max}
for a population variance estimated by
var
.
For confidence level
,
min
=
var
df
/
q
(1+
)/2
and
where
q
i
is the
i
th
quantile of a
2
distribution with
df
degrees of freedom.
ChiSquareCI
is the confidence interval for a population variance based on a sample variance
var
estimated from a sample of size
.
The following option can be given:
ConfidenceLevel
0.95
probability associated with a confidence interval
EXAMPLES
CLOSE ALL
Basic Examples
(1)
Needs["HypothesisTesting`"]
A 95% confidence interval based on a
2
distribution:
In[2]:=
Out[2]=
Options
(1)
SEE ALSO
VarianceCI
VarianceTest
ChiSquarePValue
ChiSquareDistribution
TUTORIALS
Hypothesis Testing Package
MORE ABOUT
Hypothesis Testing Package
© 2008 Wolfram Research, Inc.