<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>Replication Data for: The Typicality Principle and Its Implications for Statistics and Data Science</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/ULPD67</dcterms:identifier><dcterms:creator>Yiran Jiang</dcterms:creator><dcterms:creator>Zeyu Zhang</dcterms:creator><dcterms:creator>Ryan Martin</dcterms:creator><dcterms:creator>Chuanhai Liu</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2026-04-28</dcterms:issued><dcterms:modified>2026-04-28T12:27:52Z</dcterms:modified><dcterms:description>This is the data for "The Typicality Principle and Its Implications for Statistics and Data Science" published on Journal of Data Science.</dcterms:description><dcterms:subject>Mathematical Sciences</dcterms:subject><dcterms:date>2026-04-28</dcterms:date><dcterms:contributor>meng, xiangyu</dcterms:contributor><dcterms:dateSubmitted>2026-04-27</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>