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The documents included with the Open Source Software version of SAS 9.4, SAS Manual, SAS Technical Documentation, and SAS Software Developers Guide for SAS 9.4 provide a reference framework for understanding, applying, and extending SAS Systems for use in statistical analysis. To be a successful academic researcher with a well-defined statistical program would require not only a strong math foundation but also a knowledge of statistical software programming assumptions, implementation issues, methods, and procedures. The following tutorials are recommended to start you on your way to learning how to use SAS effectively.

For more information on the SAS Visual Components in the Visual Builder, please refer to the SAS Visual Components Technical Reference for the specific versions of the Visual Builder. Users are encouraged to utilize the Visual Component Technical Reference as it provides easier access to often overlooked information in the Visual Builder.

The SAS Software Statistics procedure is used to perform statistical analysis in SAS. It is used to perform exploratory and confirmatory analysis, to estimate and report primary or secondary analysis and statistical significance tests, and to perform model diagnostics, including basic summaries, statistical summaries, and models diagnostics. To perform SAS Software Statistics analysis, use the procedures in the SAS Libraries e.g., PROC STATISTICS etc. It is one of the most frequently used packages in SAS. SAS Development is the complete package when developing your own SAS data access options or packages using SAS Code modules.

The SPSS Data and Statistical Analysis Guide is available both on the website and through the SPSS Library in the contributed section. This document includes an overview of SPSS and analysis methods and provides a guide to data analysis and design. The SPSS tutorial here completes the coverage on statistical methods and introduces the data analysis features available in SPSS. This document is useful to anyone who wants to use SPSS in order to analyze their statistical data. 7211a4ac4a

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