statistiXL

Name: statistiXL
Works on: windows

Windows 7 and above

Developer: statistiXL

Version: 2
Last Updated: 22 Apr 2017
Release: 02 Jan 2017
Category: Science CAD

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1466 downloads

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statistiXL Tags

data analysis xls statistics statistical test statistic analysis xls test

statistiXL Details

Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows 2012
SHA1 Hash: 0a32f861f171c2e28f3850ab05b068365cb9cad8
Size: 8.55 MB
File Format: exe

Rating: 2.565217391 out of 5 based on 23 user ratings

Publisher Website: External Link
Downloads: 1466
License: Demo / Trial Version

statistiXL is a demo software by statistiXL and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows 2012.
You can download statistiXL which is 8.55 MB in size and belongs to the software category Science CAD.
statistiXL was released on 2017-01-02 and last updated on our database on 2017-04-22 and is currently at version 2.

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statistiXL Description

Analysis of Variance (ANOVA):
StatistiXL provides both univariate and multivariate ANOVA and ANCOVA. Full factorial and user specified models are supported as are fixed and random factors, nesting and repeated measures.
Clustering:
Hierarchical clustering of binomial, quantitative and mixed datasets is supported as is clustering based on a predetermined distance matrix. A wide variety of similarity/distance estimates and clustering methods are available and the resultant clustering strategy can be graphically displayed as both a text based and/or graphical dendrogram.
Contingency Tables:
Both 2-way and multi-way contingency data can be analysed.
Correlation:
Simple, Partial, Multiple and Canonical correlation is supported with graphs of Canonical Variates available for the latter.
Descriptive Statistics:
Descriptive Statistics are available for both linear and circular data sets. Linear descriptives include a choice of 18 statistics such as Mean, Standard Error and Mode, as well providing Box and Whisker plots and Error Bar plots for a graphical representation of the data. Circular descriptives provide 9 statistics including Mean Angle Circular Variance and Angular Variance.
Discriminant Analysis:
Both Grouping and Classification methods of Discriminant Analysis are supported. For Grouping Discriminant Analysis, scatterplots of case scores can be produced for each pair of components. For Classification Discriminant Analysis, an alternate dataset can be classified based on the discriminant functions determined for the primary set.
Factor Analysis:
Factor Analysis can be performed on either the correlation or covariance matrix of the raw data set. A variety of component extraction and rotation methods are supported and both scree and scatterplots of case scores can be produced.
Goodness of Fit:
A wide variety of tests for the Goodness of Fit of datasets to theoretical distributions are provided including those for Binomial, Circular, Normal, Poisson and Uniform distributions. The level of fit to user specified distributions can also be calculated.
Linear Regression:
Simple and Multiple Linear Regression is supported. Plots of regression models and residuals can be produced.
Nonparametric Tests:
Numerous Nonparametric Tests are supported including Friedman, Kruskal-Wallis, Mann-Whitney, Mood's Median, Sign, Spearman, Wald-Wolfowitz and Wilcoxon Paired-Sample tests.
Principal Components:
Principal Component Analysis is provided as a means for the reduction of large multivariate data sets into simpler structures. Scree plots and Scatterplots of case scores can be produced.