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.project

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{
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'srcDirectory' : 'src'
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}

src/Math-Tests-KolmogorovSmirnov/KolmogorovSmirnov2sampleTest.class.st

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@@ -16,19 +16,21 @@ KolmogorovSmirnov2sampleTest >> initialize [
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KolmogorovSmirnov2sampleTest >> testRejectOfEqualityHypothesesForTwoSamples [
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| nd ks |
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nd := PMNormalDistribution new.
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ks := PMKolmogorovSmirnov2Sample compareData: ((1 to: 100) collect: [ :i | nd random ]) withData: ((1 to: 100) collect: [ :i | nd random ]). "-->
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a KolmogorovSmirnov2Sample(dataSize: 100 otherDataSize: 100)"
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ks ksStatistic. "-->(9/100)"
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ks pValue asFloat. "-->0.18458528753386905"
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self assert: (ks rejectEqualityHypothesisWithAlpha: 0.05) equals: false
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ks := PMKolmogorovSmirnov2Sample
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compareData: ((1 to: 100) collect: [ :i | nd random ])
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withData: ((1 to: 100) collect: [ :i | nd random ]).
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ks ksStatistic.
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ks pValue asFloat.
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self
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assert: (ks rejectEqualityHypothesisWithAlpha: 0.05)
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equals: false
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]
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{ #category : #tests }
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KolmogorovSmirnov2sampleTest >> testSecondSmallSample [
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"sample from
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Kim, P. J. & Jennrich, R. I.
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Tables of the exact sampling distribution of the two-sample Kolmogorov–Smirnov criterion
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in Selected Tables in Mathematical Statistics Volume I (1973)"
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"sample from Kim, P. J. & Jennrich, R. I.
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Tables of the exact sampling distribution of the two-sample Kolmogorov–Smirnov criterion
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in Selected Tables in Mathematical Statistics Volume I (1973)"
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| d1 d2 |
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d1 := #(0.723 0.382 -0.854 -1.318 0.847 -0.41 -0.111).
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k data: d1.
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k otherData: d2.
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self assert: (1 - k pValue asFloat roundTo: 0.00001) equals: 0.06063.
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self assert: k ksStatistic equals: 5 / 9. "0.55555...6"
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self assert: k ksStatistic equals: 5 / 9.
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self deny: (k rejectEqualityHypothesisWithAlpha: 0.05).
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self assert: (k rejectEqualityHypothesisWithAlpha: 0.07)
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]

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