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hessian: 2x2 Hessian Matrix (Single-Choice)

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Exercise template for computing the Hessian for a given function with randomly-drawn parameters. Read More ›

gaussmarkov: Knowledge Quiz Question about Gauss-Markov Assumptions

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

function: String Question about R Functions

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Exercise template for a knowledge quiz question (about glm-related R functions) where the correct answer has to match exactly a given string. Read More ›

fourfold2: Fourfold Table (Flexible Formatting)

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Exercise template for computing a fourfold table of joint and marginal probabilities based on three randomly-drawn conditional or marginal probabilities. Read More ›

fourfold: Fourfold Table

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

essayreg: Linear Regression (Essay Question)

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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. Read More ›

dist3: Distances and the Pythagorean Theorem (Single-Choice)

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

dist2: Three Distances in a Cartesian Coordinate System

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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. Read More ›

dist: Distances and the Pythagorean Theorem

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Exercise template for computing the distance (numeric answer) between two randomly-drawn points in a Cartesian coordinate system. Read More ›

deriv2: Product Rule for Derivatives (Single-Choice)

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Exercise template for computing the derivative (single-choice) of a product function with factors of type xa and exp(b * x) at a given point c, with randomly-drawn a, b, and c. Read More ›