Plotting Probabilities: The Q-Q Plot for Distribution Assessment
Students frequently conflate Q-Q plots with P-P plots. While P-P plots compare cumulative probabilities and are sensitive to differences in the center of the distribution, Q-Q plots prioritize the tails, making them significantly more effective for detecting deviations from normality or identifying heavy-tailed outliers.
Institutional Reference: Applied Statistics
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