Helping Introductory Statistics Students Find Their Way Using Maps
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...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Journal of Statistics Education |
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| Online Access: | http://dx.doi.org/10.1080/10691898.2020.1721035 |
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doaj-0056e8de00fb4b1e8fd63c838200ec18 |
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Article |
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doaj-0056e8de00fb4b1e8fd63c838200ec182020-11-25T03:00:58ZengTaylor & Francis GroupJournal of Statistics Education1069-18982020-01-01281567410.1080/10691898.2020.17210351721035Helping Introductory Statistics Students Find Their Way Using MapsDaniel Adrian0Diann Reischman1Kirk Anderson2Mary Richardson3Paul Stephenson4Grand Valley State UniversityGrand Valley State UniversityGrand Valley State UniversityGrand Valley State UniversityGrand Valley State UniversityMaps 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.http://dx.doi.org/10.1080/10691898.2020.1721035correlationdescriptive statisticsmapplotlysimple linear regression |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Daniel Adrian Diann Reischman Kirk Anderson Mary Richardson Paul Stephenson |
| spellingShingle |
Daniel Adrian Diann Reischman Kirk Anderson Mary Richardson Paul Stephenson Helping Introductory Statistics Students Find Their Way Using Maps Journal of Statistics Education correlation descriptive statistics map plotly simple linear regression |
| author_facet |
Daniel Adrian Diann Reischman Kirk Anderson Mary Richardson Paul Stephenson |
| author_sort |
Daniel Adrian |
| title |
Helping Introductory Statistics Students Find Their Way Using Maps |
| title_short |
Helping Introductory Statistics Students Find Their Way Using Maps |
| title_full |
Helping Introductory Statistics Students Find Their Way Using Maps |
| title_fullStr |
Helping Introductory Statistics Students Find Their Way Using Maps |
| title_full_unstemmed |
Helping Introductory Statistics Students Find Their Way Using Maps |
| title_sort |
helping introductory statistics students find their way using maps |
| publisher |
Taylor & Francis Group |
| series |
Journal of Statistics Education |
| issn |
1069-1898 |
| publishDate |
2020-01-01 |
| description |
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. |
| topic |
correlation descriptive statistics map plotly simple linear regression |
| url |
http://dx.doi.org/10.1080/10691898.2020.1721035 |
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