High Quality Content by WIKIPEDIA articles! The normal probability plot is a graphical technique for normality testing: assessing whether or not a data set is approximately normally distributed. Example of a normal probability plot. The data are plotted against a theoretical normal distribution in such a way that the points should form an approximate straight line. Departures from this straight line indicate departures from normality. The normal probability plot is a special case of the...
High Quality Content by WIKIPEDIA articles! The normal probability plot is a graphical technique for normality testing: assessing whether or not a data set is approximately normally distributed. Example of a normal probability plot. The data are plotted against a theoretical normal distribution in such a way that the points should form an approximate straight line. Departures from this straight line indicate departures from normality. The normal probability plot is a special case of the probability plot, for the case of a normal distribution. The normal probability plot is formed by: * Vertical axis: Ordered response values * Horizontal axis: Normal order statistic medians or means; see rankit That is, the observations are plotted as a function of the corresponding normal order statistic medians. In addition, a straight line can be fit to the points and added as a reference line. The further the points vary from this line, the greater the indication of departures from normality.
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