Statistical Analysis Software, SAS

State-of-the-art statistical analysis software for making sound decisions. Comprehensive statistical analysis tools. 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 a comprehensive set of 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 and 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. Delivers the latest statistical methods and high-performance computational tools, along with user-requested enhancements. Proven, Validated Methods. Analyze any kind and size of data using the latest statistical techniques. SAS/STAT 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 more than four 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 is documented and verified to meet corporate and governmental compliance requirements. Readily understand 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. Get to Know SAS/STAT ® Highlights of SAS/STAT 14.1. Fitting Bayesian Random-Effects Models Using PROC MCMC. Selecting Effects for Generalized Linear Models with the HPGENSELECT Procedure. Free E-Learning Course. Free E-Learning Course. Learn how to use SAS/STAT software with this free e-learning course, Statistics 1: Introduction to ANOVA, Regression and Logistic Regression. This introductory SAS/STAT course is a prerequisite for several courses in our statistical analysis curriculum. Best of all, the course is free, and you can access it anywhere you have an internet connection.