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  • 标题:Helping Introductory Statistics Students Find Their Way Using Maps
  • 本地全文:下载
  • 作者:Daniel Adrian ; Diann Reischman ; Kirk Anderson
  • 期刊名称:Journal of Statistics Education
  • 电子版ISSN:1069-1898
  • 出版年度:2020
  • 卷号:28
  • 期号:1
  • 页码:56-74
  • DOI:10.1080/10691898.2020.1721035
  • 出版社:American Statistical Association
  • 摘要:Maps are a primary method of displaying statistical data that comes from a geographical frame. Maps are esthetically appealing and make it easier to identify geographic patterns in a dataset. However, few introductory statistical texts and courses explicitly present maps as a way to display data. In this article, we will present examples of different types of statistical maps and illustrate how these maps can be used in the instruction of an introductory statistics course.
  • 关键词:Correlation ; Descriptive statistics ; Map ; plotly ; Simple linear regression
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