An elephant never forgets: Effective analogies for teaching statistical modeling

Michael A. Martin*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Analogies are useful and potent tools for introducing new topics in statistics to students. Martin (J Stat Educ 11(2); Proceedings of the 6th Australian Conference on Teaching Statistics) considered the case for teaching with analogies in introductory statistics courses, and also gave many examples of particular analogies that had been successfully used to make difficult statistical concepts more accessible to students. In this chapter, we explore more deeply analogies for statistical concepts from more advanced topics such as regression modeling and high-dimensional data.

    Original languageEnglish
    Title of host publicationTopics from Australian Conferences on Teaching Statistics - OZCOTS 2008-2012
    EditorsBrian Phillips, Helen MacGillivray, Michael A. Martin
    PublisherSpringer New York LLC
    Pages13-24
    Number of pages12
    ISBN (Print)9781493906024
    DOIs
    Publication statusPublished - 2014
    EventAustralian Conferences on Teaching Statistics, OZCOTS 2008-2012 - Adelaide, Australia
    Duration: 12 Jul 201213 Jul 2012

    Publication series

    NameSpringer Proceedings in Mathematics and Statistics
    Volume81
    ISSN (Print)2194-1009
    ISSN (Electronic)2194-1017

    Conference

    ConferenceAustralian Conferences on Teaching Statistics, OZCOTS 2008-2012
    Country/TerritoryAustralia
    CityAdelaide
    Period12/07/1213/07/12

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