Propel research analysis with a fast and powerful solution

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. Fnaf game 1.

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.

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What’s new in IBM SPSS Statistics Subscription and Traditional Licensing Options

SPSS Statistics V26: New release

This new release now includes: quantile regression, ROC analysis and many more features to boost your analysis.

See the new SPSS user interface

Experience a variety of new UI features, such as an analysis screen with instant search.

Ready to try IBM SPSS Statistics?

Take this tutorial to discover the capabilities of SPSS Statistics using financial data and classification modeling to predict loan default.

Which option is right for you?

SPSS Statistics V26

SPSS Statistics Subscription

New IBM Business Partners for SPSS

Data.World

Check out the new data.world, inc. extension that enables you to export data sets between data.world and SPSS Statistics.

Testimonials

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Next Steps

At this point of the story, you've probably already heard about Big Data and all the information that it can offer, processing huge amounts of data stemming from our activity on our electronic devices. It can be used to isolate and identify patterns and trends in investigations applied to all sorts of fields.

Well, whether you're working with Big Data or in any other statistical data analyses, IBM SPSS Statistics can be the appropriate option as it's a piece of software recommended for statistics professional and students, equipped with powerful calculation tools.

Basic statistical analysis tools

It comes along with the functions necessary to carry out an in-depth analysis of linear models and obtain effective conclusions. You have a good amount of regression and advanced statistics procedures, which are perfect to create generalized linear models (GLM), generalized linear mixed models (GLMM), hierarchical linear models (HLM) and generalized estimation equations (GEE).

It incorporate a system to install modules to expand some of the specific features of this software.

It comes along with a modular system similar to certain development languages, that expand the capacities fo the base system. Here are some of them:

• Regression models.
• Advanced data reduction, classification, and non-parametric test models.
• Tables.
• Trends.
• Categories.
• Combined analyses.
• Maps.
• Exact tests.
• Lost value analysis.
• Complex samples.
• SamplePower.
• Classification trees.
• Data classification.

Main features of IBM's SPSS

These are the main features and functions of this software:

• Wide range of statistical procedures for the precise analysis of information.
• Preparation of data for fast and simple analyses.
• Complete functions to draw up reports.
• Powerful visualization options.
• Support for all kinds of data.

It mainly handles three kinds of files. In the first place, data files with SAV extension, but it also operates with SPO output files containing all the information due to the manipulation of data (which can be exported in HTML or XLS format) and SPS syntax files. The latter register all the instructions that can be carried out by means of SPSS commands.

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Version 24 is the latest stable version of a program that was first released back in the 1960s'. Ever since then, it has evolved enormously together with the evolution of computers that have improved its calculation and data processing capacity.

• The trial version can be used for 14 days.