Key Points Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by conducting a normality test. Normality tests are a fast way of determining if ...

Key Points A Box-Cox Power Transformation allows you to transform data to match a normal distribution. It is not a guarantee of normality. It is a quick way of transforming data to better fit a ...

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 NORMAL option in the PPPLOT statement requests a P-P plot based on the normal cumulative distribution function, and the MU= and SIGMA= normal-options specify and . Note that a P-P plot is always ...

The effectiveness of such curves is illustrated with plots of real and simulated data. Percentiles of a related correlation test of goodness of fit are presented for testing the fit of either the ...

The cutting process is in control, and you decide to check whether the process distribution is normal. The following statements create a Q-Q plot for DISTANCE, shown in Figure 10.1, with lower and ...