Site icon R-bloggers

confint3: 2-Sided Confidence Interval (Extended Moodle Version)

[This article was first published on R/exams, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Exercise template for computing the 2-sided confidence interval (with extended Moodle processing) for the mean based on a random sample.

Name:
confint3
Type:
cloze
Related:
confint2
Description:
Computing the 2-sided confidence interval at 95% level for the mean based on a random sample. The exercise is a cloze with two numeric answers for the lower and upper bound of the confidence interval, respectively. Using the ‘verbatim’ clozetype for Moodle, the exercises yields 100% of the points for the correct solution based on t quantiles but still 50% for a partially correct solution based on normal quantiles.
Solution feedback:
Yes
Randomization:
Random numbers
Mathematical notation:
Yes
Verbatim R input/output:
No
Images:
No
Other supplements:
No
Template:
confint3.Rnw
confint3.Rmd
Raw: (1 random version)
confint3.tex
confint3.md
PDF:
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("confint3.Rnw")
set.seed(1090)
exams2pdf("confint3.Rnw")

set.seed(1090)
exams2html("confint3.Rmd")
set.seed(1090)
exams2pdf("confint3.Rmd")

To leave a comment for the author, please follow the link and comment on their blog: R/exams.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.