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Systat 12

SYSTAT 12 - More Statistics, More Graphs, Less Effort



SYSTAT Works With All Levels of Statistical Research

SYSTAT is a powerful and versatile statistical software package. It employs a staggering range of powerful techniques to help conduct many types of research.

Novice statistical users can use SYSTAT’s menu-driven interface to conduct simple analyses and produce beautiful 2D and 3D graphics for presentations or reports.

Advanced users can greatly speed up their research by using SYSTAT’s intuitive command language, with the ability to save complex command macros. Those in need of advanced analysis can use SYSTAT’s more sophisticated statistical routings, and create plots and charts that are instantly ready for publication. SYSTAT’s menu and command interfaces are interlinked, allowing users the option of whichever method works best for them.

SYSTAT Makes Your Work Smooth and Easy

Few things are as aggravating as having your research software’s license expire just before you finish your work. SYSTAT stand-alone and network products are available with perpetual licenses. That means no hidden time-bombs, nothing to get between you and your work!

That’s not the only way SYSTAT makes your job easier. You can customize almost any aspect of the software, from the menu and toolbar configuration to the default appearance and style of your output. Creating custom command files lets you run analyses and produce graphs on different data sets instantly.

  • Autocomplete functionality
  • Easy data import from virtually any source
  • Interactive Graphics Dialog for transforming graphs
  • Comprehensive help files
  • Browser-style output organizer
  • Over 300 different types of charts and graphs that you can cut-and-paste
  • and so much more!

SYSTAT Has Every Statistical Procedure You Need

SYSTAT allows you to carry out very comprehensive analysis of univariate and multivariate data based on linear, general linear, and mixed linear models. You can carry out different types of robust regression analysis when conventional multiple regression is not enough. You can design experiments, carry out power analysis, do probability calculations and fit them to data. sets instantly.

  • Markov Chain
    Monte Carlo (MCMC)
  • Time Series
  • Survival Analysis
  • Matrix Computations
  • Response Surface
    Optimization
  • Spatial Statistics
  • and so much more!
  • Test Item Analysis
  • Cluster Analysis
  • Classification and
    Regression Trees
  • Correspondence Analysis
  • Multidimensional Scaling
  • Conjoint Analysis
  • Quality Analysis
  • Path Analysis

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