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Using an R shiny to enhance the learning experience of confidence intervals
Author(s) -
Williams Immanuel James,
Williams Kelley Kim
Publication year - 2017
Publication title -
teaching statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.425
H-Index - 13
eISSN - 1467-9639
pISSN - 0141-982X
DOI - 10.1111/test.12145
Subject(s) - confidence interval , graphics , statistics , computer science , basketball , sample (material) , point (geometry) , robust confidence intervals , mathematics education , mathematics , geography , computer graphics (images) , chemistry , geometry , archaeology , chromatography
Summary Many students find understanding confidence intervals difficult, especially because of the amalgamation of concepts such as confidence levels, standard error, point estimates and sample sizes. An R Shiny application was created to assist the learning process of confidence intervals using graphics and data from the US National Basketball Association.