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

[This article was first published on

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

**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:**

**Related:**

**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

*(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.