![]() ![]() ![]() In this concrete case, the data are ordered in ascending order, and we call such data as \(X_1, X_2. ![]() If that is not the case, and the pattern of the normal probability plot departs significantly/systematically from the normal probability plot, then one should suspect that the distribution is not normal. , then the normal probability plot should look like a 45 Therefore, if the sample data comes from a The theoretical quantiles of a standard normal distribution are graphed against the observed quantiles. There are different types of normality plots (P-P, Q-Q and other varieties), but they all operate based on the same idea. A normal probability plot is a plot that is typically used to assess the normality of the distribution to which the passed sample data belongs to. ![]()
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