Tag: statistics
lm3: Simple Linear Regression (Cloze with Theory, Application, Essay, and File Upload)
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Exercise template with both theory and applied questions, as well as interpretation and code upload, about simple linear regression based on a randomly-generated CSV file. Read More ›
lm2: Simple Linear Regression (Cloze with Theory and Application)
templates
Exercise template with both theory and applied questions about simple linear regression based on a randomly-generated CSV file. Read More ›
essayreg2: Linear Regression (Cloze with Essay and File Upload)
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Exercise template for interpreting a regression with two explanatory variables based on randomly-generated data (with either a linear, semi-logarithmic, or log-log relationship) in form of a cloze including essay and file upload. Read More ›
confint3: 2-Sided Confidence Interval (Extended Moodle Version)
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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. Read More ›
ttest: Interpretation of 2-Sample t Test
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Exercise template for assessing the interpretation of a randomly-generated 2-sample t test (including significance and type of alternative). Read More ›
tstat2: 1-Sample t-Test Statistic (Single-Choice)
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Exercise template for computing the t-test statistic (single-choice) from given hypothesized mean and empirical mean and variance. Read More ›
tstat: 1-Sample t-Test Statistic
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Exercise template for computing the t-test statistic (numeric answer) from given hypothesized mean and empirical mean and variance. Read More ›
scatterplot: Interpretation of a Scatterplot
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Exercise template for assessing the interpretation of a randomly-generated scatterplot regarding the joint and marginal distributions. Read More ›
relfreq: Interpretation of Relative Frequency Tables
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Exercise template for assessing the interpretation of a table with relative frequencies where either total, row, or column frequencies are selected randomly. Read More ›
regression: Simple Linear Regression (by Hand)
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Exercise template for computing the prediction from a simple linear prediction by hand, based on randomly-generated marginal means/variances and correlation. Read More ›