To interpret a normal probability plot, look at where your data point falls on the x-axis (the horizontal line). If it’s ...

The following statements create the normal probability plot shown in Figure 9.1: title 'Normal Probability Plot for Diameters'; proc capability data=measures noprint; probplot diameter / cframe = ligr ...

This is shown below. If your data is not approximately distributed as the above, you may not want to declare your data is ...

(Back to top) Here is an example of a plot for a pair of standardised level 2 residuals from a repeated measures data set: The x-axis refers to intercept residuals and the y-axis to slope residuals.

Figure 2, right panel, shows the content uniformity data in a normal probability plot. The x-axis scale represents the percentiles of a normal distribution. When data are plotted against this scale, ...

The following statements create a P-P plot, shown in Figure 8.1, which is based on the normal distribution with mean and standard deviation : title 'Normal Probability-Probability Plot for Hole ...