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An Introduction to the SAS System Phil Spector Statistical Computing Facility Department of Statistics University of California, Berkeley1What is SAS? Developed in the early 1970s at North Carolina
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How to fill out sas system:

01
Start by opening the SAS software on your computer.
02
Click on the "File" tab at the top of the screen and select "New Program" to create a new program window.
03
In the program window, begin by writing the necessary SAS code to execute your desired tasks or analyses. This may include importing data, manipulating variables, running statistical procedures, or generating reports.
04
Use the appropriate SAS language syntax to specify the actions you want to perform. Refer to the SAS documentation or online resources for guidance on specific commands and functions.
05
Once you have completed writing your SAS program, save it with a meaningful filename and a .sas extension.
06
To run the program, click on the "Run" or "Submit" button in the SAS program window. The SAS system will execute the commands and provide output in the form of log files, results tables, or graphs.
07
Review the output to ensure that your desired analysis or task has been successfully executed. Make any necessary adjustments to the SAS code and rerun the program if needed.
08
Finally, save the output files or export them to other file formats for further analysis or reporting purposes.

Who needs sas system:

01
Researchers: SAS is widely used in the field of research for data analysis and statistical modeling. Researchers from various disciplines, such as social sciences, healthcare, or market research, can benefit from using SAS to analyze complex datasets and derive meaningful insights.
02
Data Analysts: SAS provides powerful tools for analyzing and managing large datasets. Data analysts use SAS to clean, transform, and summarize data, as well as to perform statistical analyses and generate reports or visualizations.
03
Business Professionals: SAS can be utilized by business professionals for various purposes, such as sales forecasting, customer segmentation, fraud detection, or risk management. SAS enables businesses to make data-driven decisions and gain a competitive edge by leveraging advanced analytics and predictive modeling techniques.
04
Data Scientists: SAS offers a wide range of techniques and algorithms for data mining, machine learning, and predictive analytics. Data scientists use SAS to develop sophisticated models and algorithms that can uncover hidden patterns, trends, or relationships in complex datasets.
05
Government Agencies: Many governmental organizations use SAS for data management and analysis in areas such as public health, education, economics, or social welfare. SAS helps government agencies make informed policy decisions and evaluate the effectiveness of various programs or initiatives.
Overall, anyone who works with data and needs sophisticated analytics capabilities can benefit from using SAS system.
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SAS (Statistical Analysis System) is a software suite developed by SAS Institute for advanced analytics, business intelligence, data management, and predictive analytics.
Any organization or individual who needs to perform statistical analysis, data management, or advanced analytics can use SAS system.
To fill out SAS system, users need to input their data, choose the appropriate statistical analysis procedures, and run the analysis to generate results.
The purpose of SAS system is to help users analyze data, make data-driven decisions, and solve complex business problems through statistical analysis and predictive modeling.
The information reported on SAS system depends on the specific analysis being conducted, but typically includes data variables, statistical procedures, and analysis results.
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