SAS/QC^® Software Features

Basic quality problem solving

• Pareto charts.
• Ishikawa diagrams.

Statistical process control (SPC)

• Shewhart charts: X and R charts, x and x charts, box charts, p charts, np charts, c charts, u charts, individual measurements and moving range charts, tests for special causes.
• Cumulative sum control charts.
• Moving average charts.
• Nonstandard control charts:
  • Trend charts for time-dependent data.
  • Start charts for multivariate process data.
• Multivariate process modeling and monitoring.
• Alternative methods for constructing control limits.
• Westgard rules for laboratory quality control.

GAGE application

• Measurement system evaluation: range charts, average charts and new macros.
• Variance components method.

Process capability analysis

• Comparative histograms.
• CDF plots, probability plots, Q-Q plots, P-P plots.
• Capability indices.
• Confidence, tolerance and prediction intervals.
• Descriptive statistics.

Reliability analysis

• Accelerated life test models for censored data.
• Maximum likelihood estimation.
• Asymptotic normal and likelihood ratio confidence intervals.
• Weibayes analyses.
• Nonparametric estimates and confidence intervals.
• Analysis of multiple failure models.
• Probability plots.
• Life vs. stress plots.
• Nonparametric plots of mean cumulative function.
• Extended set of models and new graphics for recurrent event analysis.

Analysis of means

• Simultaneously compare k treatment means with their overall mean.
• Single or multiple response variables.
• Compute decision limits from data.
• Adjust decision limits for unequal sample sizes.
• Means charts, p charts, u charts, box charts.

Design of experiments

• Full and fractional factorial designs.
• D-optimal and A-optimal designs.
• ADX Interface for Design of Experiments:
  • Two-level, response surface, mixture and mixed-level designs.
  • Split-plot and fractional factorial split-plot designs.
  • Orthogonal arrays for mixed-level design.
  • Analysis of unstructured experiments.
  • Main effect, interaction, cube and factorial plots.
  • Statistical analyses including regression, ANOVA, residual and outlier analysis.
  • Graphical optimization.
  • HTML report generation.