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SAS/Stat is developed to meet all statistical needs of specialized and enterpriser operations worldwide. Starting from linear regression and traditional analysis of variance to high-performance modeling tools and Bayesian inference, SAS programming infrastructure serves it all. SAS users can depend on the proven and tested techniques of analysis for guaranteed accurate results. We outline the expanded benefits of SAS programming in details below:
SAS has established honor for delivering superior results with more than four decades of experience in developing advanced software for statistical analysis. By utilizing the SAS software, you can produce competent codes that are effectively documented and verified to meet the standards of governmental and corporate standards.
SAS is an integrated model through which you can access, process, and manage data according to the requirement. By using the SAS/Stat applications you can readily build and deploy the statistical paradigms, evaluate the results using numerous integrated graphs. Due to the storage of metadata in the centralized repository, it creates an interdependency of SAS/STAT models with other SAS solutions.
SAS/STAT is configured with an accelerated schedule of release in order to keep pace with all new emerging methods from the promptly expanding field of statistics. It is composed of the latest techniques that include:
Ans. : SAS stands for Statistical Analysis System. It is a statistical software analysis suite and has wide applications in data mining, business intelligence, statistics, machine learning, and more.
Ans.: SAS runs on very powerful and versatile data analyzing algorithms. All codes are written in the base language and are simple & easy to learn. The software makes programming easier for non-programming users by having a GUI ready for them. It is a closed source, so data security is no worry at all.
