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dc.contributor.authorPulvermacher, Kyle
dc.date.accessioned2023-03-17T19:07:59Z
dc.date.available2023-03-17T19:07:59Z
dc.date.issued2022-11-05
dc.identifier.urihttp://digital.library.wisc.edu/1793/84033
dc.description.abstractIn a world increasingly focused on data-driven decision-making, our techniques for statistical analysis depend on the reliability of data collection itself. However, as I found out while analyzing fiction and nonfiction literature at the UWSP library, collecting representative samples of data often poses significant challenges. In this presentation, I will first explain how I implemented stratified random sampling to gather library data, followed by a discussion of the results and lessons learned.en_US
dc.language.isoen_USen_US
dc.publisher36th annual St. Norbert College Pi Mu Epsilon Undergraduate Regional Conference, De Pere, Wisconsinen_US
dc.titleStatistical Sampling in a Library: The Unexpected Challenges of Data Collectionen_US
dc.typePresentationen_US


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