# 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:**

**Related:**

**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

*(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")
```