{
  "abstract": "We present an interactive classroom activity designed to address a central challenge in teaching introductory Bayesian statistics: how to formalize subjective knowledge and available information into prior distributions and then update them with empirical data. Role-playing as data analysts for a racing team, students evaluate candidate tires by converting qualitative engineering reports into prior distributions, collecting primary data via a virtual racing game, and using a Beta-Binomial model to inform team strategy. This discovery-based exercise allows small groups to observe directly how different prior choices and sample data jointly shape posterior inference. Student feedback ($n=32$) highlights high enjoyment, engagement and improved conceptual clarity. Open-access materials to implement the activity are provided, alongside recommendations for adapting it to other teaching contexts.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.23166",
  "author_total": 2,
  "authors": [
    {
      "name": "Federica Zoe Ricci"
    },
    {
      "name": "Mine Dogucu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/141sat46s6505.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.23166",
  "fulltext_url": null,
  "id": "141sat46s6505",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.23166",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "stat.OT"
    ],
    [
      "openalex",
      "2613|Statistics Education and Methodologies"
    ]
  ],
  "openalex": "W7213996098",
  "pdf_url": "https://arxiv.org/pdf/2609.23166",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-19",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/141sat46s6505.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:33Z",
      "native_id": "2609.23166",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.23166"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:stat.OT",
      "subfield": "statistics"
    }
  ],
  "title": "See You at the Posterior Line: Learning Bayesian Modeling Through a Car Racing Game",
  "title_text": "See You at the Posterior Line: Learning Bayesian Modeling Through a Car Racing Game",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:33Z",
  "url": "https://research.draconitic.com/paper/141sat46s6505",
  "venue": "arXiv",
  "versions": []
}