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教育統計学の講義研究(2報)
https://ic.repo.nii.ac.jp/records/781
https://ic.repo.nii.ac.jp/records/781b023a8d9-2601-4ab3-8993-4f0e9d4e3d06
名前 / ファイル | ライセンス | アクション |
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Item type | [ELS]紀要論文 / Departmental Bulletin Paper(1) | |||||||||||
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公開日 | 2017-03-15 | |||||||||||
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タイトル | 教育統計学の講義研究(2報) | |||||||||||
タイトル | ||||||||||||
タイトル | A Study of Lectures on Educational Statistics (second report) | |||||||||||
言語 | en | |||||||||||
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言語 | jpn | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | departmental bulletin paper | |||||||||||
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収録物識別子タイプ | NCID | |||||||||||
収録物識別子 | AN10587457 | |||||||||||
著者 |
土井, 努
× 土井, 努
× Tsutomu, Doi
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著者所属(日) | ||||||||||||
茨城キリスト教大学 | ||||||||||||
抄録(英) | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | This report introduces the contents of a series of lectures given by the author for the educational statistics classes. This paper focuses on two themes: first is the "correlation between pared data" and the second is "regression analysis." Among these themes special attention was paid to "overly strong correlation", "spurious correlation" and"significant level in regression analysis."Both themes are presented by first giving numerical examples, followed by an intuitive consideration of the data, and finally the statistical theories pertinent to the data. xcel software was used during the data analysis. The author stresses the importance for the students to explain the output results using their own words.The author believe lectures on this subject should deal with a limited number of themes rather than trying to cover too many points. This method encourages students to fulfil course requirements. Consequently their achievements in class might encourage them into farther studying in this area. | |||||||||||
書誌情報 |
茨城キリスト教大学紀要. II, 社会・自然科学 en : Journal of Ibaraki Christian University. II, Social and natural sciences 巻 43, p. 247-262, 発行日 2009-01-01 |
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内容記述タイプ | Other | |||||||||||
内容記述 | 6 | |||||||||||
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内容記述タイプ | Other | |||||||||||
内容記述 | KJ00006128739 | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | ISSN | |||||||||||
収録物識別子 | 13426370 |