Inference, estimation, and decision-making from data
The t-test leans on an assumption: the data is roughly normal. When that fails (small samples, obvious skew, heavy tails, ordinal data) non-parametric tests step in. They make almost no assumption about the distribution's shape, usually by working with ranks instead of raw values.
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▶ Non-parametric Tests