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PearsonCorrelationTest
BUILT-IN MATHEMATICA SYMBOL
PearsonCorrelationTest
PearsonCorrelationTest[v1, v2]
tests whether the vectors
and
are linearly independent.
PearsonCorrelationTest[..., "property"]
returns the value of
.
Details and OptionsDetails and Options
- PearsonCorrelationTest performs a hypothesis test on
and
with null hypothesis
that the vectors are linearly independent, and alternative hypothesis
that they are not. - By default a probability value or
-value is returned. - A small
-value suggests that it is unlikely that
is true. - The arguments
and
can be any real-valued vectors of equal length. - PearsonCorrelationTest is based on the Pearson product-moment correlation
computed by Correlation[v1, v2]. Under
,
asymptotically follows a StudentTDistribution[n-2]. - PearsonCorrelationTest[v1, v2, "HypothesisTestData"] returns a HypothesisTestData object htd that can be used to extract additional test results and properties using the form htd["property"].
- PearsonCorrelationTest[v1, v2, "property"] can be used to directly give the value of
. - Properties related to the reporting of test results include:
-
"DegreesOfFreedom" the degrees of freedom used in the test "PValue" the
-value of the test"PValueTable" formatted table containing the
-value"ShortTestConclusion" a short description of the conclusion of the test "TestConclusion" a description of the conclusion of the test "TestData" a list containing the test statistic and
-value"TestDataTable" formatted table of the
-value and test statistic"TestStatistic" the test statistic "TestStatisticTable" formatted table containing the test statistic - The following options can be used:
-
AlternativeHypothesis "Unequal" the inequality for the alternative hypothesis Method Automatic the method to use for computing
-valuesSignificanceLevel 0.05 cutoff for diagnostics and reporting VerifyTestAssumptions Automatic what assumptions to verify - For tests of independence, a cutoff
is chosen such that
is rejected only if
. The value of
used for the
and
properties is controlled by the SignificanceLevel option. This value
is also used in diagnostic tests of normality. By default
is set to
. - Named settings for VerifyTestAssumptions in IndependenceTest include:
-
"Normality" verify that all data is normally distributed
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