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IBM® SPSS® Statistics is a powerful statistical software platform. It delivers a robust set of features that lets your organization extract actionable insights from its data. With SPSS Statistics you can: Analyze and better understand your data, and solve complex business and research problems through a user friendly interface. Latest on Alabama Crimson Tide quarterback Mac Jones including news, stats, videos, highlights and more on ESPN. General, commercial statistics software for Macintosh computers (Macs) Updated Sept. These packages all provide descriptive statistics; some have an astonishing array of statistical tools. Also see free and open-source Mac statistics software and the big.
Why IBM SPSS Statistics?
IBM® SPSS® Statistics is a powerful statistical software platform. It delivers a robust set of features that lets your organization extract actionable insights from its data.
With SPSS Statistics you can:
- Analyze and better understand your data, and solve complex business and research problems through a user friendly interface.
- More quickly understand large and complex data sets with advanced statistical procedures that help ensure high accuracy and quality decision making.
- Use extensions, Python and R programming language code to integrate with open source software.
- More easily select and manage your software with flexible deployment options.
SPSS Statistics is available for Windows and Mac operating systems.
SPSS Statistics 27 is now available
SPSS Statistics 27 is now available Read the blog post
A powerful statistical analysis software platform
Easy to use
Perform powerful analysis and easily build visualizations and reports through a point-and-click interface, and without any coding experience.
Efficient data conditioning
Reduce data preparation time by identifying invalid values, viewing patterns of missing data, and summarizing variable distributions.
Quick and reliable
Analyze large data sets and prepare data in a single step with Automated Data Preparation.
Run advanced and descriptive statistics, regression and more with an integrated interface. Plus, you can automate common tasks through syntax.
Open source integration
Enhance SPSS syntax with R and Python using a library of extensions or by building your own.
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Store files and data on your computer rather than in the cloud with SPSS that’s installed locally.
Take a closer look at IBM SPSS Statistics
SPSS Statistics 27: New release
Learn about new statistical algorithms, productivity and feature enhancements included in the new release to boost your analysis.
IBM SPSS Statistics tutorial
Get hands-on experience with SPSS Statistics by analyzing a simple set of employee data and running a variety of statistical tests.
A leader in statistical analysis software
G2 Crowd named SPSS Statistics a Leader in Statistical Analysis Software for Winter 2020.
Explore advanced statistical procedures with SPSS Statistics
Use univariate and multivariate modeling for more accurate conclusions in analyzing complex relationships.
Predict categorical outcomes and apply nonlinear regression procedures.
Use classification and decision trees to help identify groups and relationships and predict outcomes.
Easily identify the right customers and improve campaign results.
Build time-series forecasts regardless of your skill level.
Discover complex relationships and improve predictive models.
Predict outcomes and reveal relationships using categorical data.
Analyze statistical data and interpret survey results from complex samples.
Better understand and measure purchasing decisions.
Reach more accurate conclusions with small samples or rare occurrences.
Uncover missing data patterns, estimate summary statistics and impute missing values.
Which option is right for you?
SPSS Statistics Subscription
SPSS Statistics 27
SPSS Statistics Campus Editions, GradPack and Faculty Packs
Buy now to get started today
Statistical software are specialized computer programs for analysis in statistics and econometrics.
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- ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management
- ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation
- Chronux – for neurobiological time series data
- DAP – free replacement for SAS
- Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) a software framework for developing data mining algorithms in Java
- Fityk – nonlinear regression software (GUI and command line)
- GNU Octave – programming language very similar to MATLAB with statistical features
- gretl – gnu regression, econometrics and time-series library
- intrinsic Noise Analyzer (iNA) – For analyzing intrinsic fluctuations in biochemical systems
- JASP – A free software alternative to IBM SPSS Statistics with additional option for Bayesian methods
- Just another Gibbs sampler (JAGS) – a program for analyzing Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS
- JMulTi – For econometric analysis, specialised in univariate and multivariate time series analysis
- KNIME - An open source analytics platform built with Java and Eclipse using modular data pipeline workflows
- LIBSVM – C++ support vector machine libraries
- mlpack – open-source library for machine learning, exploits C++ language features to provide maximum performance and flexibility while providing a simple and consistent application programming interface (API)
- Mondrian – data analysis tool using interactive statistical graphics with a link to R
- Neurophysiological Biomarker Toolbox – Matlab toolbox for. European Journal of Cardio-Thoracic Surgery. 54: 4–9. doi:10.1093/ejcts/ezy169. PMC6005113.
- ^Wolfram Language Guide: Statistical Data Analysis
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- Statistics software at Curlie