Technologies /Analytics / Statistics

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Statistical Analysis with SAS/STAT® Software

Providing the foundation for SAS® Analytics

From traditional statistical analysis of variance and predictive modeling to exact methods and statistical visualization techniques, SAS/STAT software is designed for both specialized and enterprisewide analytical needs. SAS/STAT software provides a complete, comprehensive set of tools that can meet the data analysis needs of the entire organization.

Benefits

  • Uncover new business opportunities and increase revenue.
  • Apply the latest statistical techniques.
  • Achieve corporate and governmental compliance objectives.
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Features

  • Analysis of variance.
  • Mixed models.
  • Regression.
  • Categorical data analysis.
  • Bayesian analysis.
  • Multivariate analysis.
  • Survival analysis.
  • Psychometric analysis.
  • Cluster analysis.
  • Nonparametric analysis.
  • Survey data analysis.
  • Multiple imputation for missing values.
  • Study planning.
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Intelligence is only as good as your ability to use it. The right people must have access to it, and SAS allows us to make sure that they do.

— Raghib Muhammad,

Director of Data Warehousing and Business Intelligence,

AXA Financial

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Screenshots

Statistical procedures create graphics as automatically as they create tables.

SAS/STAT
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How SAS Is Different

  • SAS has over 30 years of developing and delivering advanced statistical analysis software.
  • SAS/STAT works in both specialized and general enterprise application environments.
  • Statistical procedures in SAS are constantly being updated to reflect the latest advances in statistical methodology, thus enabling you to go beyond the basics for more advanced statistical analyses.
  • Technical support at SAS is provided by masters- and doctorate-level statisticians who can help address almost any issue quickly.
 

Ready to learn more?

Call us at 1-800-727-0025 (US and Canada) or request more information.

 

Questions?
 

Analytics Info Kit

Learn how analytics can be applied to solve specific problems.

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