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Myint, Leslie; Hadavand, Aboozar; Jager, Leah; Leek, Jeffrey – Journal of Statistics Education, 2020
We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package ("base R") and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting…
Descriptors: Statistics, Randomized Controlled Trials, Teaching Methods, Courseware
Zhou, Lutong; Braun, W. John – Journal of Statistics Education, 2010
The increasing popularity of R is leading to an increase in its use in undergraduate courses at universities (R Development Core Team 2008). One of the strengths of R is the flexible graphics provided in its "base" package. However, students often run up against its limitations, or they find the amount of effort to create an interesting plot may…
Descriptors: Computer Software, Undergraduate Students, Computer Graphics, Visual Aids
Marasinghe, Mervyn; Duckworth, William M.; Shin, Tae-Sung – Journal of Statistics Education, 2004
This paper extends work on the construction of instructional modules that use graphical and simulation techniques for teaching statistical concepts (Marasinghe, et al. 1996; Iversen and Marasinghe 2001). These modules consist of two components: a software part and a lesson part. A computer program written in LISP-STAT with a highly interactive…
Descriptors: Regression (Statistics), Mathematics Instruction, Computer Graphics, Visual Aids

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