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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JDS</journal-id>
<journal-title-group><journal-title>Journal of Data Science</journal-title></journal-title-group>
<issn pub-type="epub">1683-8602</issn><issn pub-type="ppub">1680-743X</issn><issn-l>1680-743X</issn-l>
<publisher>
<publisher-name>School of Statistics, Renmin University of China</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JDS1174</article-id>
<article-id pub-id-type="doi">10.6339/25-JDS1174</article-id>
<article-categories><subj-group subj-group-type="heading">
<subject>Education in Data Science</subject></subj-group></article-categories>
<title-group>
<article-title>Generative AI Takes a Statistics Exam: A Comparison of Performance Between ChatGPT3.5, ChatGPT4, and ChatGPT4o-mini</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9150-7832</contrib-id>
<name><surname>McGee</surname><given-names>Monnie</given-names></name><email xlink:href="mailto:mmcgee@smu.edu">mmcgee@smu.edu</email><xref ref-type="aff" rid="j_jds1174_aff_001">1</xref><xref ref-type="corresp" rid="cor1">∗</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sadler</surname><given-names>Bivin P.</given-names></name><xref ref-type="aff" rid="j_jds1174_aff_001">1</xref>
</contrib>
<aff id="j_jds1174_aff_001"><label>1</label>Department of Statistics and Data Science, <institution>Southern Methodist University</institution>, 6425 Boaz Lane, Dallas, TX, 75205, <country>USA</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>∗</label>Corresponding author. Email: <ext-link ext-link-type="uri" xlink:href="mailto:mmcgee@smu.edu">mmcgee@smu.edu</ext-link>.</corresp>
</author-notes>
<pub-date pub-type="ppub"><year>2025</year></pub-date><pub-date pub-type="epub"><day>6</day><month>5</month><year>2025</year></pub-date><volume>23</volume><issue>2</issue><fpage>269</fpage><lpage>286</lpage><history><date date-type="received"><day>23</day><month>8</month><year>2024</year></date><date date-type="accepted"><day>6</day><month>3</month><year>2025</year></date></history>
<permissions><copyright-statement>2025 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.</copyright-statement><copyright-year>2025</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Open access article under the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY</ext-link> license.</license-p></license></permissions>
<abstract>
<p>Many believe that use of generative AI as a private tutor has the potential to shrink access and achievement gaps between students and schools with abundant resources versus those with fewer resources. Shrinking the gap is possible only if paid and free versions of the platforms perform with the same accuracy. In this experiment, we investigate the performance of GPT versions 3.5, 4.0, and 4o-mini on the same 16-question statistics exam given to a class of first-year graduate students. While we do not advocate using any generative AI platform to complete an exam, the use of exam questions allows us to explore aspects of ChatGPT’s responses to typical questions that students might encounter in a statistics course. Results on accuracy indicate that GPT 3.5 would fail the exam, GPT4 would perform well, and GPT4o-mini would perform somewhere in between. While we acknowledge the existence of other Generative AI/LLMs, our discussion concerns only ChatGPT because it is the most widely used platform on college campuses at this time. We further investigate differences among the AI platforms in the answers for each problem using methods developed for text analytics, such as reading level evaluation and topic modeling. Results indicate that GPT3.5 and 4o-mini have characteristics that are more similar than either of them have with GPT4.</p>
</abstract>
<kwd-group>
<label>Keywords</label>
<kwd>academic integrity</kwd>
<kwd>generative AI</kwd>
<kwd>inclusive teaching</kwd>
<kwd>statistics and data science education</kwd>
<kwd>text analytics</kwd>
</kwd-group>
</article-meta>
</front>
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