XSCHART Statement

Overview

The XSCHART statement creates $\bar{X}$ and s charts for subgroup means and standard deviations, which are used to analyze the central tendency and variability of a process.

You can use options in the XSCHART statement to

compute control limits from the data based on a multiple of the standard error of the plotted means and standard deviations or as probability limits
tabulate subgroup sample sizes, subgroup means, subgroup standard deviations, control limits, and other information
save control limits in an output data set
save subgroup sample sizes, subgroup means, and subgroup standard deviations in an output data set
read preestablished control limits from a data set
apply tests for special causes (also known as runs tests and Western Electric rules)
specify a method for estimating the process standard deviation
specify a known (standard) process mean and standard deviation for computing control limits
display distinct sets of control limits for data from successive time phases
add block legends and symbol markers to reveal stratification in process data
superimpose stars at points to represent related multivariate factors
clip extreme points to make the charts more readable
display vertical and horizontal reference lines
control axis values and labels
control layout and appearance of the chart

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