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XLSTAT 2022.4.5
Statistical analysis tools for Microsoft ExcelXLSTAT is a statistical analysis add-in for Microsoft Excel, designed for researchers and analysts who work with spreadsheet data. It offers regression, forecasting, hypothesis tests, ANOVA, mixed models and multivariate methods such as principal component analysis, clustering and discriminant analysis. Specialized tools cover time series, conjoint analysis, survival models, process control, PLS and OMICS data.
XLSTAT 2022.4.5 details
| Author: | ADDINSOFT INC |
| License: | Demo |
| Price: | $295.00 |
| Released: | Dec 7, 2022 |
| File size: | 219.34 MB |
| Downloads: | 1043 |
| Keywords: | Excel, Add-in, general linear model, parametric, descriptive statistics, XLSTAT software, multivariate analysis tool, excel statistics add-in, Distribution, Data analysis, non-parametric, ADDINSOFT INC, Windows 10 compatible, statistical data analysis, Statistics, Regression, statistical analysis tool, data visualization software, modeling, Principal components, ANOVA, PLS, anova and hypothesis tests, mixed model, regression analysis software, Forecasting, tests, OMICS, conjoint, x64 platform |
| Author URL: | https://www.xlstat.com |
XLSTAT Awards
XLSTAT for Windows 10 - Full description
XLSTAT is a statistical analysis add-in that runs inside Microsoft Excel, using spreadsheets as the workspace for preparing data, selecting analyses and reviewing results. It is intended for researchers, analysts, students and other Excel users who need methods ranging from basic descriptive statistics to specialized multivariate modeling. Its broad collection of general and field-focused tools supports work across disciplines without requiring a separate statistics application for every task.
For relationships and prediction, XLSTAT provides linear, logistic and nonlinear regression, correlation tests, forecasting and time-series analysis. Users can apply parametric or nonparametric tests, along with ANOVA, ANCOVA, mixed models and general linear models, to compare groups and examine effects. Multivariate methods include principal component and discriminant analysis, correspondence analysis, multidimensional scaling, clustering, K-nearest neighbors and decision trees. These methods help explore patterns, classify observations and summarize complex datasets.
Specialized tools extend the analysis to particular research workflows. Options include partial least squares modeling, conjoint analysis, preference mapping and sensometrics for studying preferences, as well as survival models and dose-response analysis. The package also covers statistical process control, simulation, structural equation modeling and OMICS data analysis. Advanced multivariate methods such as redundancy analysis, canonical correspondence analysis and multiple factor analysis are included. Optional modules provide 3D visualization and latent class models.
Because XLSTAT works within Excel, users can apply statistical procedures to spreadsheet data and keep analysis connected to a familiar workbook-based workflow. The available methods range from descriptive statistics and hypothesis tests to predictive and exploratory modeling, making the add-in suitable for coursework, research projects and professional data analysis. The range of methods also lets users choose a technique for the question at hand rather than treating all datasets as the same kind of problem.
XLSTAT is offered as demo software and is developed by ADDINSOFT INC. The Windows edition requires Microsoft Excel; the stated system requirement is Excel 2003 or later, with compatibility noted through Excel 2016. It is available in English, French, German, Italian, Japanese, Portuguese and Spanish. A separate Mac edition is available from the developer for Excel 2011 and 2016. Users should check that their Excel installation is supported before choosing an edition.