boxhist2: Univariate Exploration of a CSV File (Moodle Version)

Exercise template with Moodle-specific markup for assessing the interpretation of exploratory statistics (quantiles) and graphics (boxplot and histogram) based on a randomly-generated CSV file.

Name:
boxhist2
Type:
cloze
Related:
boxhist
Description:
Univariate numeric data for download in a CSV file (comma-separated values) need to be assessed using quantiles (three numeric items) and exploratory graphics (three single-choice items). Data are drawn randomly from a suitable data-generating process so that the single-choice items are either about correct or clearly wrong. The six items are embedded into the exercise using Moodle-specific markup for somewhat improved layout.
Solution feedback:
Yes
Randomization:
Random numbers, text blocks, and data file
Mathematical notation:
Yes
Verbatim R input/output:
No
Images:
Yes
Other supplements:
boxhist.csv
Template:
boxhist2.Rnw
boxhist2.Rmd
Raw: (1 random version)
boxhist2.tex
boxhist2.md
PDF:
boxhist2-Rnw-pdf
boxhist2-Rmd-pdf
HTML:
boxhist2-Rnw-html
boxhist2-Rmd-html

(Note that the HTML output contains mathematical equations in MathML. It is displayed by browsers with MathML support like Firefox or Safari - but not Chrome.)

Demo code:

library("exams")

set.seed(1090)
exams2html("boxhist2.Rnw")
set.seed(1090)
exams2pdf("boxhist2.Rnw")

set.seed(1090)
exams2html("boxhist2.Rmd")
set.seed(1090)
exams2pdf("boxhist2.Rmd")

TEMPLATES
cloze boxplot histogram 1-sample visualization statistics moodle