IBM SPSS Statistics, the world's leading statistical software, is designed to solve business and research problems by means of ad hoc analysis, hypothesis testing, geospatial analysis and predictive analytics. Organizations use SPSS Statistics to understand data, analyze trends, forecast and plan to validate assumptions, and drive accurate conclusions.

A comprehensive set of statistical tools
Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics and many more. Create publication-ready charts, tables and decision trees in one tool.

Integration with open source
Enhance the SPSS syntax with R and Python through specialized extensions. Leverage the 130+ extensions available on IBM Extension Hub, or build your own and share with your peers to create a customized solution.

Easy statistical analysis
Use a simple drag and drop interface to access a wide range of capabilities and work across multiple data sources. Plus, flexible deployment options make purchasing and managing your software easy.

What's new in SPSS Statistics 26
We are proud to announce the newest features available for SPSS Statistics 26. These features bring much desired new statistical tests, enhancements to existing statistics and scripting procedures, and new production facility capabilities to the Classic user interface, which all originated from customer feedback.

Here is what you can do with the new features in version 26:

Execute New Quantile Regression AnalysisCompare Two ROC CurvesRun Enhanced Bayesian Procedures for One-Way Repeated Measures ANOVA, One-Sample Binomial, and One-Sample PoissonUtilize Fleiss Multiple Rater Kappa for Improved Survey AnalysisRun MIXED, GENLINMIXED, and MATRIX Scripting EnhancementsReplace IBM SPSS Collaboration and Deployment Services for Processing SPSS Statistics Jobs with New Production Facility Enhancements
These features are now available in SPSS Statistics 26, to see them in action view this brief demo video:

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