October 16 2009

XLStat Pro 7.5.2

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XLStat Pro 7.5.2

XLSTAT is the tool used and the most comprehensive and statistics for Microsoft Excel.
XLSTAT offers features that make Excel a powerful tool and easy to satisfy most needs .
XLSTAT works with any version of Excel from version 97 to version 2007 for Windows and Mac
XLSTAT-Pro was developed since 1993 to enable users of MS Excel for and modeling. XLSTAT-Pro offers features that cover all needs of conventional and statistics. It adds for Excel in order to facilitate handling of the in Excel. All are accessible from a menu that is added to the Excel menu bar.

Some toolbars allow quick access to different . The dialog box, with simple and direct access to the online help very quickly to select the set of .

preparation
Sampling
Sampling distribution
Discretization
Consolidation *
Consolidation in the presence / absence *
Complete disjunctive coding *
* Consolidation in ranges
Recoding partition *
Transformation *
Anamorphosis *

Description
Descriptive statistics (including box plots and scattergrams)
Histograms
Normality Tests *
Contingency table (cross table)
Correlation Matrices and Similarities / dissimilarities *


Factorial
Principal Component (PCA)
Gabriel Biplot *
Discriminant
Correspondence (AFC)
Multiple Correspondence (MCA or AFCM)
Multidimensional Scaling (MDS)
Ascending hierarchical classification (CAJ)
K-means classification
* Partition univariate

visualization
AxesZoomer
Easy Labels
Micro
Plot transformer
Scatter plots
* Parallel Coordinates

Modeling
Setting a probability law
Linear regression
ANOVA
ANCOVA
Logistic regression (Logit, Probit, …)
Nonlinear regression
Nonparametric regression (LOWESS and Kernel)

Association tests
Tests on contingency tables *
Tests of correlation *
Mantel test *

Parametric tests
1 shows evidence for tyz
Tyz tests for 2 samples
Tests for k samples
Tests for comparison of variances of the 2 samples
Tests for comparison of variances of k samples
Comparison of a
Comparison of two proportions
Comparison of proportions k

Non-parametric tests
Tests for comparing 2 independent samples (Kolmogorov-Smirnov, Mann-Whitney)
Tests for comparison of 2 related samples (Wilcoxon sign-rank test and sign)
Tests for comparing k independent samples (Kruskal-Wallis)
Tests for the comparison of k related samples (Friedman)

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