What Is a Statistical Analysis System?

Statistical Analysis System (English: Statistical Analysis System ), written and developed by two biostatistics graduate students at North Carolina State University. It was only a mathematical statistical software. The statistical analysis system was established by Jim Goodnight and Dr. John Sall in 1976. Company, and officially launched related software.

The statistical analysis system company continuously develops business data analysis and forecasting technology with all walks of life. The important application areas include government economic decision-making and enterprise decision-making support applications. It has become the fifth largest software company in the world.
Statistical analysis system software is a large-scale integrated information system for decision support, but the earliest functions of this software system are limited to statistical analysis; so far, statistical analysis functions are still its important modules and core functions. The latest version of the statistical analysis system is 9.4.
After years of development, the statistical analysis system has been spread all over the world, and the units used are in the fields of finance, medicine and health, production, transportation, communication, scientific research, government and education; in the field of data processing and statistical analysis, the statistical analysis system is well known The Big Mac in Statistical Software. [1]
The statistical analysis system is a module software system, which is composed of multiple function modules. The description of the relevant software modules is as follows:

    Enterprise Guide Statistical Analysis System Enterprise Guide Software

    Beginning in 2000, SAS has provided a new client-side software Enterprise Guide, which can provide a visual operating interface to facilitate users to operate applications, and reduce the threshold of statistical analysis. The software has the following main functions:
    1. Customizable intuitive and visual user interface, but different from SAS / AF or SAS / WebAF
    2. More secure access to raw data to facilitate database user rights management
    3. Analytical data is edited in a process manner, which can lower the threshold for users
    4. Related programs can be classified into analysis, reports, charts, queries, etc.
    5. Supports automated scheduling and associated script generators
    6. But still supports code editing programs
    When using SAS Enterprise Guide, it supports and uses with the original SAS (that is, Base SAS) software. The purpose of SAS Enterprise Guide is the same as the above. For example, if EG is used as the user interface to generate related instruction programs or programs, it will be processed and executed by SAS (Server / Client). That is, the mode of EG> SAS (Server / Client)> EG.
    Because the software is not written entirely in C language, it needs to be used with Java and C #. If you need to use EG software, you need to install at least the .NET Framework. After the installation is complete, you also install JRE (that is Java SDK runtime version 1.4.1) runtime environment suite. [2]

    JMP Statistical analysis system JMP software

    It is read in the same way as Jump. It was published by JMP, a subsidiary of Statistical Analysis Systems, in 1989. It was originally a high-level statistical analysis software for Mac systems, and then successively produced versions for Windows and Linux. The latest version is 9.0 (Sep 2010). In addition to the original statistical analysis of the software, higher-level "parametric" graphic display analysis and application of statistical models can be achieved by changing related parameters to achieve further data analysis; its software also gives Microsoft Excel a component gain set for the use of components, Providing a closer integration of JMP and Excel will also allow Excel to push the limits of use on data sheets. [2]

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