Download XLSTAT 2017 Full Version (with crack)

Download XLSTAT 2017 Full Version (with crack)

XLSTAT is a leader in software for statistical analysis in Excel
Since 1993, we have worked continuously to bring you and some other 50,000 customers from more than 100 countries a powerful, versatile, and above all user-friendly and affordable software to meet all of your statistical needs.
Featuring over 200 standard and advanced statistical tools, XLSTAT works as a seamless add-on to MS Excel®, allowing you to easily analyze and reformat your data within Excel. XLSTAT is compatible with both PC and Mac.
XLSTAT uses pioneering computing techniques so that you get actionable results at unbeatable speeds: parallel computing allows you to take full advantage of all your computer processors.
Today XLSTAT offers a wide variety of industry/field specific solutions designed for each and every one of you.
So make way for a statistical software that will change the way you work.

Distribution sampling: why?
From a dataset it may be useful to select a small or large amount of individuals to be submitted to further analyses. This can be used for validation purposes or to shorten the computation time.
Assuming you know the distribution of your sample you could generate a smaller or larger set that follows the same distribution to run your analyses and tests. You may enter your theoretical distribution parameters or let XLSTAT estimate them empirically from a given dataset.

XLSTAT discetization tool
XLSTAT makes available several discretization methods that can be or not automatic.
Constant range: Choose this method to create classes that have the same range. Then enter the value of the range. You can optionally specify the "minimum" that corresponds to the lower bound of the first interval.
Intervals: Use this method to create a given number of intervals with the same range.
Equal frequencies: Choose this method so that all the classes contain as much as possible the same number of observations.
Automatic (Fisher): Use this method to create the classes using the Fisher’s algorithm.
Automatic (k-means): Choose this method to create classes (or intervals) using the k-means algorithm.
Intervals (user defined): Choose this option to select a column containing in increasing order the lower bound of the first interval, and the upper bound of all the intervals.
80-20: Use this method to create two classes, the first containing the 80 first % of the series, the data being sorted in increasing order, the second containing the remaining 20%.
20-80: Use this method to create two classes, the first containing the 20 first % of the series, the data being sorted in increasing order, the second containing the remaining 80%.
80-15-5 (ABC): Use this method to create two classes, the first containing the 80 first % of the series, the data being sorted in increasing order, the second containing the next 15%, and the third containing the remaining 5%. This method is sometimes referred to as "ABC classification".
5-15-80: Use this method to create two classes, the first containing the 5 first % of the series, the data being sorted in increasing order, the second containing the next 15%, and the third containing the remaining 80%.

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