Learn about boxplots in SPSS with data from the UK Living Cost and Food Survey (2010). Household Income and Accommodation Tenure / Luke Sloan & Rob Angell
| データ種別 | 電子書籍 |
|---|---|
| 出版者 | London : SAGE Publications |
| 出版年 | 2015 |
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| 書誌ID | OB00842058 |
|---|---|
| 本文言語 | 英語 |
| 別書名 | 異なりアクセスタイトル:Household income and accommodation tenure |
| 一般注記 | License restrictions may limit access This work introduces readers to boxplots. Boxplots are a useful way of exploring continuous data, especially as a preliminary step before more sophisticated analyses. Boxplots, or, as they are sometimes called, box-whisker diagrams, allow the researcher to better understand the distribution of his or her variables either independently or across groups. As you will also learn, boxplots are an excellent method for identifying outlying cases within the data. To demonstrate this technique, we draw upon a subset of data from the UK Living Cost and Food Survey (LCFS). We assess how a person's weekly household income is distributed across three categories determining their residential tenure: (i) those in public rented accommodation; (ii) those who rent privately; and (iii) those who own their home Specialized Description based on online resource; title from home page (viewed on May 18, 2015) |
| 著者標目 | *Sloan, Luke Angell, Rob |
| 件 名 | LCSH:Statistics -- Graphic methods
全ての件名で検索
LCSH:Statistics -- Graphic methods -- Case studies 全ての件名で検索 LCSH:Research -- Statistical methods 全ての件名で検索 LCSH:Research -- Statistical methods -- Case studies 全ての件名で検索 LCSH:Cost and standard of living -- Great Britain -- Statistics 全ての件名で検索 |
| 分 類 | LCC:HA31 DC23:001.4226 |
| 巻冊次 | ebook ; ISBN:9781473937833 ; PRICE:No price RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
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※2020年8月16日以降