templates

Exercise template for conducting a simple linear regression based on a randomly-generated CSV file.
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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 the Hessian for a given function with randomly-drawn parameters.
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templates

Exercise template for a multiple-choice knowledge quiz question about the assumptions in the Gauss-Markov theorem.
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templates

Exercise template for a knowledge quiz question (about glm-related R functions) where the correct answer has to match exactly a given string.
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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 interpreting a simple regression based on randomly-generated data (with either a linear, semi-logarithmic, or log-log relationship) in form of an essay (for Moodle).
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templates

Exercise template for computing the distance (single-choice) between two randomly-drawn points in a Cartesian coordinate system.
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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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