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    Statistical Sampling in a Library: The Unexpected Challenges of Data Collection

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    Presentation slides (4.546Mb)
    Date
    2022-11-05
    Author
    Pulvermacher, Kyle
    Publisher
    36th annual St. Norbert College Pi Mu Epsilon Undergraduate Regional Conference, De Pere, Wisconsin
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    Abstract
    In 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.
    Permanent Link
    http://digital.library.wisc.edu/1793/84033
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    • Department of Mathematical Sciences

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