To interpret a normal probability plot in SPC, you need to look at the shape and pattern of the points on the plot. If the points are close to a straight line, it indicates that your data is ...

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 ...

2. Missing Outlier Data. Normal probability plots don’t tell you how many outliers there are or where they are. You can use them to see whether or not there are any outliers in your data set ...

The first step to transform non-normal data for SPC is to check whether the data are normal or not. There are several ways to do this, such as plotting a histogram, a box plot, or a normal ...

In flexible Naive Bayesian (FNB), the excellent qualities of Gaussian kernel have been demonstrated by the theoretical analyses and experimental comparisons with normal Naive Bayesian(NNB). There are ...

Creating a Normal Probability-Probability Plot See CAPPP1 in the SAS/QC Sample Library: The distances between two holes cut into 50 steel sheets are measured and saved as values of the variable ...