Conducting laboratory experiments properly with statistical tools: An easy hands-on tutorial

    研究成果: Conference contribution

    抜粋

    This hands-on half-day tutorial consists of two sessions. Part I covers the following topics: Preliminaries; Paired and two-sample t-tests, confidence intervals; One-way ANOVA and two-way ANOVA without replication; Familiwise error rate. Part II covers the following topics: Tukey's HSD test, simultaneous confidence intervals; Randomisation test and randomised Tukey HSD test; What's wrong with statistical significance tests?; Effect sizes, statistical power; Topic set size design and power analysis; Summary: how to report your results. Participants should have some prior knowledge about the very basics of statistical significance testing and are strongly encouraged to bring a laptop with R already installed. They will learn how to design and conduct statistical significance tests for comparing the mean effectiveness scores of two or more systems appropriately, and to report on the test results in an informative manner.

    元の言語English
    ホスト出版物のタイトルWSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining
    出版者Association for Computing Machinery, Inc
    ページ830-831
    ページ数2
    ISBN(電子版)9781450359405
    DOI
    出版物ステータスPublished - 2019 1 30
    イベント12th ACM International Conference on Web Search and Data Mining, WSDM 2019 - Melbourne, Australia
    継続期間: 2019 2 112019 2 15

    出版物シリーズ

    名前WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining

    Conference

    Conference12th ACM International Conference on Web Search and Data Mining, WSDM 2019
    Australia
    Melbourne
    期間19/2/1119/2/15

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Software
    • Computer Science Applications

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  • これを引用

    Sakai, T. (2019). Conducting laboratory experiments properly with statistical tools: An easy hands-on tutorial. : WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining (pp. 830-831). (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery, Inc. https://doi.org/10.1145/3289600.3291378