Helping Introductory Statistics Students Find Their Way Using Maps
| Autor: | Paul Stephenson, Kirk Anderson, Diann Reischman, Mary Richardson, Daniel W. Adrian |
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| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
lcsh:LC8-6691 Information retrieval lcsh:Special aspects of education Descriptive statistics Computer science Teaching method 05 social sciences Frame (networking) descriptive statistics 050301 education plotly simple linear regression 01 natural sciences Education 010104 statistics & probability correlation map ComputingMilieux_COMPUTERSANDEDUCATION lcsh:Probabilities. Mathematical statistics 0101 mathematics Statistics Probability and Uncertainty Simple linear regression lcsh:QA273-280 0503 education |
| Zdroj: | Journal of Statistics Education, Vol 28, Iss 1, Pp 56-74 (2020) |
| ISSN: | 1069-1898 |
| DOI: | 10.1080/10691898.2020.1721035 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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