Statistical Analysis

SAS/STAT® Software

Make new discoveries with state-of-the-art statistical analysis software

From traditional analysis of variance and regression to multivariate and Bayesian analysis, this statistical software meets both specialized and enterprisewide analytical needs. You get reliable analyses you can depend on.

Benefits

Apply the latest, greatest techniques.

SAS statistical analysis software is constantly updated to reflect the latest methodologies, enabling you to go beyond the basics for more advanced analyses. Our technical support is provided by experienced master's- and doctorate-level statisticians who offer a level of service and knowledge rarely found with other software vendors.

Simplify with a single environment.

Why learn multiple software packages or programming languages when you can use the single most powerful analytics software out there? SAS provides an integrated environment for your complete analytical life cycle needs. Access and manage data. Build statistical models. And report your results. All from within one software environment.

Meet compliance mandates.

SAS has more than 37 years of experience developing advanced statistical analysis software and a proven reputation for delivering superior, reliable results. With SAS/STAT software, you can produce code that is easily documented and verified for corporate and governmental compliance issues.

Gain faster time to results.

When licensed with SAS Model Manager and SAS Scoring Accelerator, SAS/STAT linear models can be published into database-specific functions for in-database processing. No need to move data between SAS and the database for scoring. Performance of the entire modeling process is improved for faster predictive results.

Screenshots

Features

Statistical Analysis
  • Analysis of variance
  • Mixed models
  • Regression
  • Categorical data analysis
  • Bayesian analysis
  • Multivariate analysis

  • Survival analysis
  • Psychometric analysis
  • Cluster analysis
  • Nonparametric analysis
  • Multithreaded procedures
  • Statistical graphics

We can use more data. That increases what we call the 'quality of statistics.' Our numbers are more reliable and we can give more meaningful answers to our requesters, such as politicians and analysts.

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