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SYSTAT v13.0 x86 英文正式版(繪圖探索與分析資料軟體)
check crack\install.txt
結合高等統計與交談繪圖探索與分析資料。 圖形直接與資料相連增加資料探索的能力，可同
時顯示 2D/3D 圖形，如果您不是統計專家，您的研究有需要用到統計分析，您想要買一統計
軟體，而且要像 Excel 一樣的操作方式直覺好用。而且常用的統計功能都要含在軟體內，不
想購買額外之模組，那 SYSTAT 應該就是您要的東西了！
功能介紹：SYSTAT將常用統計功能都含在軟體內，所以您不需購買額外之模組。SYSTAT發展
超過20年，從大電腦到個人電腦，所以性能十分專業成熟， 國內外有相當多的使用者，美國
500大的必備統計軟體工具。
非常適合教學及研究使用，使用的對象涵蓋了所有理工農醫法商各科系。是美國許多大學指定
的統計教學研究工具！它的特色是:
More Statistics 更多統計 基本到中階到高等的統計都內涵其中。
More Graphs 更多繪圖 可同時顯示2D/3D圖形，資料探索。
Less Effort 少做苦工 圖形直接可與資料相連增加資料探索的能力。
發佈說明：針對64位。
Systat Software proudly introduces SYSTAT 13, the latest advancement in
desktop statistical computing.
SYSTAT is a versatile and comprehensive 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.
Those in need of advanced analysis can use SYSTAT's more sophisticated
statistical routines, 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 13 is quicker, sturdier and more robust than any of its
predecessors. Newly improved data handling functionality allows the
software to process larger data sets, at speeds faster than ever
before...and SYSTAT 13 is fully compatible with the new Windows 7
operating system! SYSTAT 13 Offers All the Statistical Computing Power
That Researchers Need
Not only does SYSTAT offer common procedures like Linear Regression,
Analysis of Variance and Non-parametric Tests, but you will also find
advanced methods like Mixed Model Analysis, Advanced Regression (e.g.
Robust, Non-linear, Partial Least Squares, etc.) and Response Surface
Methods, all of which are available in SYSTAT's base package.
SYSTAT 13 introduces the following new statistical methods:
* ARCH & GARCH Models in Time Series
* Best Subsets Regression
* Confirmatory Factor Analysis
* Environment Variables in Best Statistics
* Polynomial Regression
* Enhancements to existing methods such as ANOVA, Bootstrapping,
Crosstabulation, Fitting Distributions, Hypothesis Testing and more!
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