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    <AnnotationProperty rdf:about="http://purl.obolibrary.org/obo/IAO_0000119"/>
    <AnnotationProperty rdf:about="http://purl.obolibrary.org/obo/IAO_0000114"/>
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    <!-- http://purl.obolibrary.org/obo/IAO_0000078 -->

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    <!-- http://purl.obolibrary.org/obo/STATO_0000030 -->

    <Class rdf:about="http://purl.obolibrary.org/obo/STATO_0000030">
        <rdfs:label xml:lang="en">Chi-Squared statistic</rdfs:label>
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    <!-- http://purl.obolibrary.org/obo/STATO_0000708 -->

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        <rdfs:label>Cochran-Armitage Chi-Square Statistic for Trend</rdfs:label>
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        <ns2:IAO_0000115>A chi-square statistic used to test whether a dichotomous variable and an ordinal variable are related.

The statistic is calculated using a weighted sum of the differences between observed and expected frequencies, where the weights are based on the scores assigned to the ordered categories. Mathematically, it&#39;s often expressed as:
Z = ∑(wi(Oi-Ei)/sqr( wi^2.Ei(1-Ei))
 
where wi  are the scores, Oi observed frequencies, and Ei expected frequencies.</ns2:IAO_0000115>
        <ns2:IAO_0000119>Cochran, W. G., &amp; Armitage, P. (1954). The χ² Test for Trend. Biometrika, 41(1-2), 171–178.</ns2:IAO_0000119>
        <ns2:IAO_0000119>SEVCO &amp; STATO</ns2:IAO_0000119>
        <ns2:IAO_0000117>Kenneth Wilkins, Brian S. Alper, Joanne Dehnbostel</ns2:IAO_0000117>
        <ns2:IAO_0000117>Philippe Rocca-Serra</ns2:IAO_0000117>
        <ns2:IAO_0000114 rdf:resource="http://purl.obolibrary.org/obo/IAO_0000122"/>
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