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Containing tools for nonparametric analyses, this supplemental text gives guidance on how R is used for nonparametric data analysis in the biological sciences, focusing on how R is used to distinguish between data that could be classified as nonparametric as opposed to parametric, with both approaches to data classification covered extensively.
This handbook provides historical background on distance learning, professional support, and tips on how interactive distance learning technologies and activities can be brought into today's classroom.
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