
XLSTAT is the tool used and the most comprehensive data analysis and statistics for Microsoft Excel.
XLSTAT offers features that make Excel a powerful tool and easy to satisfy most needs analysis.
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 data analysis and modeling. XLSTAT-Pro offers features that cover all needs of conventional data analysis and statistics. It adds tools for Excel in order to facilitate handling of the data in Excel. All tools are accessible from a menu that is added to the Excel menu bar.
Some toolbars allow quick access to different tools. The dialog box, with simple and direct access to the online help very quickly to select the set of data.
Data preparation
Sampling Data
Sampling distribution
Discretization
Consolidation *
Consolidation in the presence / absence *
Complete disjunctive coding *
* Consolidation in ranges
Recoding partition *
Transformation *
Anamorphosis *
Data Description
Descriptive statistics (including box plots and scattergrams)
Histograms
Normality Tests *
Contingency table (cross table)
Correlation Matrices and Similarities / dissimilarities *
Data Analysis
Factorial analysis
Principal Component Analysis (PCA)
Gabriel Biplot *
Discriminant Analysis
Correspondence analysis (AFC)
Multiple Correspondence Analysis (MCA or AFCM)
Multidimensional Scaling (MDS)
Ascending hierarchical classification (CAJ)
K-means classification
* Partition univariate
Data 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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