resamp : Introduction to Resampling Inference« Back to Modules List
TitleIntroduction to Resampling Inference
AuthorNicholas G Reich
File Size442.2 KB
DescriptionThe revamp module provides an introduction to resampling inference. A dataset with zero-inflated observations is provided and used as an example to compare group means. For drawing inference, a standard parametric approach (i.e. the t-test) is compared with a permutation test and bootstrap confidence interval for the observed mean difference between groups. In a second lab, students are asked to downsample the large dataset and use it to compare inferences between parametric and non-parametric approaches. A bonus assignment asks students to try to stochastically simulate data in such a way as to match the zero-inflated dataset. This exercise has been turned into a class contest with great success.
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