Use Probability Plot to evaluate the fit of a distribution to the
data, to estimate percentiles, and to compare sample distributions. A
probability plot displays each value versus the percentage of values in the
sample that are less than or equal to it, along a fitted distribution line. The
y-axis is transformed so that the fitted distribution forms a straight line.

For information about data considerations, examples, and interpretation, go to Overview for Probability Plot.

Enter one or more numeric columns that you want to graph.

Choose one of the following layout options.

- Separate graphs for each continuous variable
- Creates a separate probability plot for each column in the Continuous variables field.
- Overlay continuous variables
- Columns in the Continuous variables field are overlaid on a single probability plot.

Enter a variable that defines the groups. Group labels are shown in the graph legend.

Enter one or more grouping variables in By variables to create a separate probability plot for each level of the grouping variables. The columns that you enter can be numeric or text, and must be the same length as the columns in Continuous variables. The y-scales for each variable are the same across the multiple probability plots.

Select the distribution you want to fit on the probability plot. Select a
distribution below for more information.