Explain several q-q plots for data simulated

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One sensible recommendation is to "calibrate" your eye by looking at several Q-Q plots for data simulated from the correct distribution (here standard normal). Qqnorm(rnorm(n)) abline(0, 1) where n is the number of cases in the data. Repeat until you get an idea how much variation you should expect. But isn"t there a hypothesis test we should apply?

Reference no: EM13153252

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