Small Samples with Meaningful Results

Expand Your Data Science Toolkit with the Nonparametric Sign Test

Data comes in all shapes and sizes. Most statistical methods rely on assumptions about abundant and well-behaved data. Nonparametric methodologies, like the sign test, have few assumptions and so make a good alternative to analyze small datasets with unusual shapes. Extracting meaningful information from limited data is a common problem in biology (genetic analysis), management (Delphi interviews), geology (water flow), and business (production and …

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