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

Note that the PROBPLOT statement creates a normal probability plot for DIAMETER by default. The nonlinearity of the point pattern indicates a departure from normality. Since the point pattern is ...

Below are two probability plots for his two sets of data. Notice that one can be considered normal while the other is not. If ...

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. Here are Normal ...

The final graphical tool for assessing the distribution of a set of data is the normal probability plot (i.e., normal quantile plot). Figure 2, right panel, shows the content uniformity data in a ...

The cutting process is in statistical control. As a preliminary step in a capability analysis of the process, it is decided to check whether the distances are normally distributed. The following ...