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    <eprintid>1099</eprintid>
    <rev_number>30</rev_number>
    <documents>
      <document id='https://researchdata.bath.ac.uk/id/document/15548'>
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        <rev_number>2</rev_number>
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            <filename>Simpson1729.zip</filename>
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            <hash>24b0c5ae0e3f18e93387f19eb8cb9ea4</hash>
            <hash_type>MD5</hash_type>
            <filesize>197616</filesize>
            <mtime>2021-12-09 10:22:54</mtime>
            <url>https://researchdata.bath.ac.uk/1099/1/Simpson1729.zip</url>
          </file>
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        <mime_type>application/zip</mime_type>
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        <formatdesc>Zip of data to support chapter &quot;Quality and Bias&quot;.</formatdesc>
        <language>en</language>
        <security>public</security>
        <license>cc_by</license>
        <main>Simpson1729.zip</main>
        <content>data</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>175</userid>
    <dir>disk0/00/00/10/99</dir>
    <datestamp>2022-03-14 08:20:15</datestamp>
    <lastmod>2024-07-15 10:59:53</lastmod>
    <status_changed>2022-03-14 08:20:15</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Davenport</family>
          <given>James</given>
        </name>
        <id>J.H.Davenport@bath.ac.uk</id>
        <orcid>0000-0002-3982-7545</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>FALSE</contact>
      </item>
    </creators>
    <title>Dataset for chapter &quot;Quality and Bias&quot;</title>
    <subjects>
      <item>FB0010</item>
      <item>GJ0090</item>
    </subjects>
    <divisions>
      <item>dept_compsci</item>
    </divisions>
    <keywords>Artificial Intelligence, Bias, Simpson&apos;s Paradox</keywords>
    <abstract>Dataset is a MATLAB program, and its output, for the graphs illustrating in Davenport&apos;s chapter &quot;Quality and Bias&quot; in the BCS-published book, edited by Adam Leon Smith, on &quot;Artificial Intelligence and Software Testing&quot;.  They are provided here, and linked from the book, to allow readers to experiment.</abstract>
    <date>2022-03-10</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <lay_summary>Simpson&apos;s paradox is a major problem in data analysis. These graphs were created (via a MATLAB program with a fixed &apos;random&apos; seed) to illustrate the paradox.  The program and files are provided to allow the reader to experiment and see how sensitive Simpson&apos;s paradox is to the random seed or the various parameters used.</lay_summary>
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        <corpname>University of Bath</corpname>
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    <funding>
      <item>
        <funder_name>University of Bath</funder_name>
        <funder_id>https://doi.org/10.13039/501100000835</funder_id>
      </item>
    </funding>
    <research_centres>
      <item>artai</item>
    </research_centres>
    <collection_method>This dataset goes with the graphs on Simpson&apos;s paradox in Davenport&apos;s chapter in the BCS-published book, edited by Adam Leon Smith, on &quot;Artificial Intelligence and Software Testing&quot;.

The .m file generates the .fig, from which the .jpg was saved. No additional manipulations were performed on the .fig between generation and saving the .jpg. 1729 (Hardy&apos;s taxi number) is explicitly set as the seed to ensure reproducibility.

Data generated 14 November 2021, and images signed off 8 December 2021.</collection_method>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01099</doi>
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        <link>https://shop.bcs.org/store/221/detail/workgroup?id=3-221-9781780175768</link>
        <type>pub</type>
      </item>
    </related_resources>
    <access_types>
      <item>open</item>
    </access_types>
    <resourcetype>
      <general>Dataset</general>
    </resourcetype>
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