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

Name:
`confint3`
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
Raw: (1 random version)
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")```