IBM SPSS Statistics puts the power of advanced statistical analysis in your hands. Whether you are a beginner or an experienced statistician, its comprehensive set of tools will meet your needs.
| IBM SPSS Statistics Standard Edition | IBM SPSS Statistics Professional Edition | IBM SPSS Statistics Premium Edition | |
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| Core statistical and graphics capabilities to take standard analytic projects from start to finish |  |
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| Seamless integration with R, Python and other environments to easily and effectively expand statistical capabilities and programmability | |
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| Advanced statistical procedures, including GLM, GLMM, HLM, GENLIN and GEE, to more accurately identify and analyze complex relationships | |
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| Nonlinear regression, including MLR, Binary Logistic Regression, NLR, CNLR and Probit Analysis, to improve the accuracy of predictions | |
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| Simulation modeling to build better models and assess risk when inputs are uncertain | |
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| Customized tables to analyze and report on numerical and categorical data (not available in Statistics Standard Edition for Academia) | |
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| High-end charts, graphs and mapping capabilities to aid analysis and reporting | |
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| Missing value analysis (with multiple imputation) to address issues of "dirty data" for more complete analysis and better decision-making | |
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| Advanced data preparation to identify anomalies and the other data that can skew results | |
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| Decision trees to better identify groups, discover relationships between groups, and predict future events | |
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| Forecasting to predict trends and build expert time-series forecasts quickly and easily | |
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| Categories to obtain clear insight into complex categorical and numeric data, as well as high-dimensional data. | |
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| Structural Equation Modeling to test hypotheses and confirm relationships among observed and latent variables | | ||
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Power Analysis (SamplePower) |
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| Bootstrapping to test the stability and reliability of predictive models | | ||
| Advanced sampling assessment and testing procedures | | ||
| Direct marketing and product decision-making procedures to identify best customers and the product attributes that appeal to them | | ||
| Add Statistics Server to this package and realize dramatically faster performance, improved productivity and powerful automation | |
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Popular downloads
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City of Lancaster Case Study (Link resides outside of ibm.com)
Customer Case Study [652KB]
City of Lancaster takes a predictive approach to policing. Enhancing operational planning with deep insight into crime data.
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