Robust procedure: A statistical procedure that gives approximately correct results even when assumptions are not perfectly met.
How to apply it: t-procedures are robust against mild non-normality, especially for large samples, but are sensitive to outliers for small samples.
Course: AP Statistics · Unit: Inference for Quantitative Data: Means
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