With respect to data management, SAS has capability of better data management tools and better handling of very large data set. It is effective in data management and more divers and flexible than SPSS.
SAS is more flexible in the degree of control it gives user. One of the most powerful statistical software is SAS. On contrast SPSS strength lies in its ease of use and instructional documentation; graphic user interface and its relative comprehensive approach.
On the other hand, SPSS has limited set of procedures and tests available for users. This enable them to have more accurate and informed decisions.
The data step used to prepare the data for one of the procedures. It is useful for managers or researchers with large data set and more complex statistical analysis. So SAS has to focus with time to refine and incorporate more user friendly features.
Given the limited scope and time of this article, in general we can say Sas is more comprehensive and powerful statistical program intended for broader audience. Generally there are two main components of SAS programs the data Step and the procedure step Spector.
Basically the program developed for the audience of social scientists while SAS audience is considerably broader Yaffee.
It is more powerful as well as more complicated Yaffee. From the user friendly perspective SAS application has rigid program syntax and lack of sufficiently detailed help menu Yaffee.
SPSS statistical packages for the social sciences is one of the most popular computer package for statistical analysis that most universities around the world use.
The procedure step perform analysis on the data, and produce often huge amounts of output Spector. The data step create a SAS data setreads data from external source or modify other previously created SAS data set.
Connect Statistics and The Social Sciences Statistical software is important it allows mangers to analyze the past performance, understand the present and predict the future there by enable them to make well informed decision. In recent years a lot refined however there still remain a gap.
SAS is a comprehensive data analysis software. And effort has to be made to make the program affordable to smaller business to encompass wider users.
It is a tool for managers that helps them in the analysis of data in to productive as well as predictive insight. SAS program helps to analyze vast amount of data and calculate different statistical measures that helps business managers and or researchers in their decision making.
While SPSS has been more useful for smaller business being affordable and easier to understand Yaffee. A lot of big companies capable of using it since they have the financial capacity. Get More Ideas For Brainstorming: There are a number of statistical software that have been developed to fulfill this dynamic need.
SAS is an abbreviation for statistical analysis system. It gives greater diversity of statistical test, greater control of what optional procedures to use. However it remains to be expensive and hard to use. It also easier to merge; to concatenate data sets and to pipe the output from one data set into that of another with SAS than it is with SPSS.24 F Chapter 3: Introduction to Statistical Modeling with SAS/STAT Software Overview: Statistical Modeling There are more than 70 procedures in SAS/STAT software, and the majority of them are dedicated to solving problems in statistical modeling.
Introduction to SAS May This training session provides an overview of the basic functionality of SAS.
We will go over how to open and save data files as well as how to recode variables, compute new variables, and perform data tasks in SAS. SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
Software as a Service (SaaS) deployments get you up and running much more quickly than traditional on-site solutions, ensuring faster time to value.
The SaaS offerings give you easy access to SAS software, so you can get fast answers from your data. People, passion and forward-thinking technology make up the SAS difference. Read about our vision, mission, values, what we stand for and our company overview.
Analytics is our story because we believe it can redefine yours. Brief Introduction to SAS • Now the most widely used commercial statistical software • Used to stand for “Statistical Analysis System” 2. SAS Products • Base SAS - data management and basic procedures • SAS/STAT - statistical analysis • SAS/GRAPH - presentation quality graphics.Download