tutorials

Before actually using a dynamic exercise in a course it should be thoroughly tested. While certain aspects require critical reading by a human, other aspects can be automatically stress-tested in R.
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general

Pre-conference tutorial about R/exams at useR! 2019 (The R User Conference) in Toulouse: Slides, example code, and links to further information.
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templates

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

Exercise template for solving a system of three linear equations (numeric answer) with a problem description based on shuffled images.
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templates

Exercise template for computing the t-test statistic (numeric answer) from given hypothesized mean and empirical mean and variance.
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templates

Exercise template for computing the prediction from a simple linear prediction by hand, based on randomly-generated marginal means/variances and correlation.
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templates

Exercise template for minimizing a linear objective function with two arguments subject to a Cobb-Douglas-type constraint. Both the parameters of the functions and the exact question (argument 1 vs. argument 2 vs. function value in optimum) are drawn randomly.
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templates

Exercise template for computing a fourfold table (as presented in Moodle) of joint and marginal probabilities based on three randomly-drawn conditional or marginal probabilities.
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templates

Exercise template for computing joint probabilities from a 2x2 table based on three randomly-drawn conditional or marginal probabilities.
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templates

Exercise template for computing the Manhattan, Euclidean, and maximum distance (cloze with three numeric answers) between two randomly-drawn points in a Cartesian coordinate system.
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