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SignificanceLevel
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Hypothesis Tests
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SignificanceLevel
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Probability & Statistics
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Hypothesis Tests
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SignificanceLevel
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BUILT-IN MATHEMATICA SYMBOL
DistributionFitTest
LocationTest
LocationEquivalenceTest
VarianceTest
VarianceEquivalenceTest
See Also »
|
Hypothesis Tests
New in 8.0: Alphabetical Listing
More About »
SignificanceLevel
SignificanceLevel
is an option to
VarianceTest
and similar functions that controls cutoffs for diagnostic tests as well as test conclusions.
MORE INFORMATION
The setting
SignificanceLevel
->
with
0<
<1
indicates a significance level of
.
The level
used for verifying assumptions such as normality is taken to be
where
is the number of datasets being tested.
EXAMPLES
CLOSE ALL
Basic Examples
(2)
Set test sizes for diagnostics used in
LocationTest
:
The
-value is equivalent but a warning is issued:
Set the cutoff used in
and
properties:
By default,
is used:
Set test sizes for diagnostics used in
LocationTest
:
In[1]:=
In[2]:=
Out[2]=
The
-value is equivalent but a warning is issued:
In[3]:=
Out[3]=
Set the cutoff used in
and
properties:
In[1]:=
In[2]:=
Out[2]=
In[3]:=
Out[3]=
By default,
is used:
In[4]:=
Out[4]//TraditionalForm=
Properties & Relations
(2)
The significance level can affect the degrees of freedom for some tests:
An assumption of equal variances is rejected at the 25% level and a Satterthwaite approximation is used for the degrees of freedom:
The significance level is divided by the number of comparisons when assumptions are checked:
Using
with 50 tests for normality results in each one being tested at the
level:
SEE ALSO
DistributionFitTest
LocationTest
LocationEquivalenceTest
VarianceTest
VarianceEquivalenceTest
MORE ABOUT
Hypothesis Tests
New in 8.0: Alphabetical Listing
New in 8