What's New Table of Contents  

What's New in SAS/QC 9.0 and 9.1


SAS/QC now includes the ANOM procedure for analysis of means, a graphical and statistical method for comparing a set of means to determine whether any of them are significantly different from the overall mean. There are also a number of enhancements to the existing CAPABILITY, OPTEX, RELIABILITY, and SHEWHART procedures.

The ADX Interface for Design of Experiments is a guided point-and-click solution for engineers, scientists, statisticians, and other researchers who collaboratively design, analyze, and interpret experiments to improve industrial processes and products. The ADX Interface supports a variety of designs, including two-level, mixed level, response surface, mixture, optimal, and split-plot.

The ADX Interface now enables you to:

The ADX Interface is documented in the book Getting Started with the SAS 9 ADX Interface for Design of Experiments.

ANOM Procedure

  The ANOM procedure produces analysis of means (ANOM) charts for identifying group means that differ significantly from the overall mean. An ANOM chart is similar to a control chart, with a process variable statistic (such as a mean) plotted versus a classification or group variable. Decision limits on the chart are used to determine which of the group means are significantly different.

ANOM can be used as an alternative to analysis of variance (ANOVA) in the fixed effects situation. ANOM differs from ANOVA in that it identifies the groups that are different; ANOVA only determines whether a significant difference exists. ANOM has the additional advantage of a convenient graphical representation and lends itself to quality improvement applications in which the end user has limited background in statistics.

PROC ANOM can be applied to both variables and attribute data, and to equal and unequal sample sizes.


You can now juxtapose displays, including box-and-whisker plots, dot plots, and carpet plots, with histograms as aids for visualizing the distribution of process data.

The following options are new in the HISTOGRAM statement:

The following options are new in the COMPHIST and HISTOGRAM statements:

  CLASS= variables specified in the COMPHIST statement can now have values longer than 16 characters.

OPTEX Procedure

The OPTEX procedure now enables you to control how CLASS variables are modeled, by specifying options for the ordering of levels and the parameterization of design matrix columns associated with the levels. In addition, the default parameterization has been changed to be orthogonal, providing efficiency values and parameter variances that are easier to interpret and to compare.

The following options are new in the CLASS statement:


SHEWHART Procedure

In previous releases of the SHEWHART procedure, the data associated with a subgroup in an input summary data set had to be complete for that subgroup to be plotted. For example, if the variable _LCLX_ in a TABLE= data set contained a missing value for a given subgroup, that subgroup would not be plotted. The SHEWHART procedure now processes data and control limit values independently, so that the missing value for _LCLX_ produces a gap in the lower control limit line for that subgroup. The data, central line, and upper control limit for the subgroup are all plotted, assuming the values of the associated variables are not missing.

  Phase and block variable values can now be up to 48 characters long.

The following options are new or enhanced:


Wheeler, D. J. (1995), Advanced Topics in Statistical Process Control, Knoxville, TN: SPC Press, Inc.