boxhist: Univariate Exploration of a CSV File

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

Name:
boxhist
Type:
cloze
Related:
boxhist2
Preview:

For the 49 observations of the variable x in the data file boxhist.csv draw a histogram, a boxplot and a stripchart. Based on the graphics, answer the following questions or check the correct statements, respectively. (Comment: The tolerance for numeric answers is \(\pm0.8\), the true/false statements are either about correct or clearly wrong.)

A quarter of the observations is smaller than which value?

A quarter of the observations is greater than which value?

Half of the observations are smaller than which value?


  • False / True
  • True / False / False
  • False / True
  • 2.55
  • 13.1
  • 10.4

For the 34 observations of the variable x in the data file boxhist.csv draw a histogram, a boxplot and a stripchart. Based on the graphics, answer the following questions or check the correct statements, respectively. (Comment: The tolerance for numeric answers is \(\pm0.2\), the true/false statements are either about correct or clearly wrong.)

A quarter of the observations is smaller than which value?

A quarter of the observations is greater than which value?

Half of the observations are smaller than which value?


  • True / False
  • False / True / False
  • True / False
  • 3.27
  • 4.69
  • 3.45

For the 49 observations of the variable x in the data file boxhist.csv draw a histogram, a boxplot and a stripchart. Based on the graphics, answer the following questions or check the correct statements, respectively. (Comment: The tolerance for numeric answers is \(\pm0.6\), the true/false statements are either about correct or clearly wrong.)

A quarter of the observations is smaller than which value?

A quarter of the observations is greater than which value?

Half of the observations are smaller than which value?


  • False / True
  • True / False / False
  • False / True
  • 4
  • 15
  • 13.7
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.
Solution feedback:
Yes
Randomization:
Random numbers, text blocks, and data file
Mathematical notation:
Yes
Verbatim R input/output:
No
Images:
Yes
Other supplements:
No
Template:
boxhist.Rmd
boxhist.Rnw
Raw: (1 random version)
boxhist.md
boxhist.tex
PDF:
boxhist-Rmd-pdf
boxhist-Rnw-pdf
HTML:
boxhist-Rmd-html
boxhist-Rnw-html

(Note that the HTML output contains mathematical equations in MathML, rendered by MathJax using ‘mathjax = TRUE’. Instead it is also possible to use ‘converter = “pandoc-mathjax”’ so that LaTeX equations are rendered by MathJax directly.)

Demo code:

library("exams")

set.seed(403)
exams2html("boxhist.Rmd", mathjax = TRUE)
set.seed(403)
exams2pdf("boxhist.Rmd")

set.seed(403)
exams2html("boxhist.Rnw", mathjax = TRUE)
set.seed(403)
exams2pdf("boxhist.Rnw")

TEMPLATES
cloze boxplot histogram 1-sample visualization statistics