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Xlstat statistical
Xlstat statistical






#XLSTAT STATISTICAL SOFTWARE#

XLSTAT has not been rated by our users yet. XLSTAT Statistical Analysis Software is an easy-to-use, comprehensive, affordable and high-performance statistical software that works as an add-on to Excel. XLSTAT runs on the following operating systems: Windows. It was initially added to our database on. The latest version of XLSTAT is 2022.3, released on. XLSTAT is a Demo software in the category Business developed by Addinsoft.

xlstat statistical

A Mac version is also available on the XLSTAT website. XLSTAT-CCR and XLSTAT-LG operate in conjunction with an XLSTAT-Solution bundle. XLSTAT's statistical analysis software is compatible with all Excel versions from version 97 to version 2013, and is compatible with the Windows 9x till Windows 8 systems. Complementary modules are available for 3D visualization, Preference Mapping, Time series analysis, Conjoint analysis, PLS approach. It includes regression (linear, logistic, nonlinear), multivariate data analysis (PCA, DA, CA, MCA, MDS), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA and much more. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data analysis package. XLSTAT 2018, with many new features, has now been.

xlstat statistical

The XLSTAT statistical analysis add-in offers a wide variety of functions to enhance the analytical capabilities of Excel, making it the ideal tool for your everyday data analysis and statistics requirements.

xlstat statistical

XLSTAT is a modular statistical software built around XLSTAT-Pro - the core product of Addinsoft. graphics to directly visualize the results of the study, but also allows direct access to the statistics created by XLSTAT using the calculation tools. XLSTAT is the leading data analysis and statistical solution for Microsoft Excel. XLSTAT is a complete analysis and statistics add-in for MS Excel that has been developed since 1993.






Xlstat statistical