XLSTAT

"I have been delighted with the program to date, and have found it easy to use, and of immense value to my data analysis. It is wonderful not to have to change data from one program to another to carry out analysis."
P. C., Ireland

XLSTAT is the leading data analysis and statistical solution for Microsoft Excel

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 2016, with many new features, has now been released.

XLSTAT's statistical analysis software is compatible with all Excel versions on Windows from version 2003 to version 2016, and Excel 2011 and 2016 on the Mac), and is compatible with the Windows XP through Windows 10 systems, as well as with Mac OSX.

XLSTAT has a number of additional advanced modules that extend its functionality.

Because it is quick, reliable, easy to install and to use - and well-priced - XLSTAT has grown to be one of the most commonly used statistical software packages in the market and is used today by more than 25,000 customers in businesses and universities, big and small, in over 100 countries throughout the world.

In the following video you can discover the key advantages of XLSTAT.

XLSTAT relies on Excel for the input of data and the display of results, but the computations are done using autonomous software components. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data analysis package. The quality of the computations is identical to that offered by classic scientific statistical analysis software.

To find out how XLSTAT works, check out these on-line tutorials.

You can get more detailed information or download a fully working demo version.

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About KCS

Kovach Computing Services (KCS) was founded in 1993 by Dr. Warren Kovach. The company specializes in the development and marketing of inexpensive and easy-to-use statistical software for scientists, as well as in data analysis consulting.

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