Make sound decisions with state-of-the-art statistical analysis software

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SAS/STAT Software

Statistical analysis software with proven, validated models.

Analyze any kind and size of data using the latest statistical analysis techniques.

SAS/STAT statistical software includes exact techniques for small data sets, high-performance statistical modeling tools for large data tasks and modern methods for analyzing data with missing values. And because the software is updated regularly, you'll benefit from using the newest methods in the rapidly expanding field of statistics.
Use proven, validated statistical methods.

With almost five decades of experience developing advanced statistical analysis software, SAS has an established reputation for delivering superior, reliable results. Our rigorous software testing and quality assurance program means you can count on the quality of each release. You can be confident that the code you produce with SAS/STAT software is documented and verified to meet corporate and governmental compliance requirements.
Readily understand statistical analysis results with an abundance of charts and graphs.

Hundreds of built-in, customizable charts and graphs ensure clear, consistent statistical output, so your analysis results are easy to understand. And because metadata is stored in a centralized repository, it’s easy to incorporate SAS/STAT models into other SAS solutions.

Key Features

Comprehensive statistical analysis software. Unmatched in the industry. Scalable to meet your expanding needs.

Expansive library of ready-to-use statistical procedures

Includes more than 100 prewritten statistical analysis procedures that deliver significant functionality.

Wide range of robust statistical methods

Provides comprehensive tools for both specialized and enterprisewide statistical needs – from analysis of variance and linear regression to Bayesian inference and high-performance model selection for massive data.

Cross-platform support & scalability

Runs on all major computing platforms and can access nearly any data source. Easily integrates into any computing environment and scales to address larger or more complex analytical problems.