IBM SPSS Statistics Standard Edition

The essential tools for your analytical projects

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  • Overview
  • Features and Benefits
  • System Requirements

You’ll have all the basics covered with our complement of essential analytical capabilities.

Whether you are a statistician or other analytics professional or have to analyze data as part of your business responsibilities, IBM® SPSS® Statistics Standard offers the advanced statistical procedures you need to make your analysis more reliable, so you reach more dependable conclusions.

IBM SPSS Statistics Standard is used in a number of fields to address fundamental business and research questions. For instance, business managers can use this edition to identify potential costs savings and improve campaign response rates. Analysts can quickly understand large and complex datasets and statistically identify the best predictors to drive quality decision-making.

To address your analytical needs, IBM SPSS Statistics Standard includes these capabilities:

  • Linear models – make your analysis more accurate and reach more dependable conclusions
  • Nonlinear models models – have the ability to apply more sophisticated models to your data
  • Customized tables – quickly slice and dice your data using pivot tables

If you need an analytical package that combines the standard statistical procedures and functions that most analysts use on a day-to-day basis, choose IBM SPSS Statistics Standard.


With IBM SPSS Statistics Standard, you can get a quick look at your data, formulate hypotheses for additional testing, and then carry out a number of procedures to help clarify relationships between variables, create clusters, identify trends and make predictions. Key capabilities include:

Linear models
IBM SPSS Statistics Standard features a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships, including:

  • General linear models (GLM)
  • Generalized linear mixed models (GLMM)
  • Hierarchical linear models (HLM)
  • Generalized linear models (GENLIN)
  • Generalized estimating equations (GEE)

Nonlinear models
You can also apply more sophisticated models to your data using a wide range of nonlinear regression models, using these procedures:

  • Multinomial logistic regression (MLR) – Predict categorical outcomes with more than two categories
  • Binary logistic regression – Easily classify your data into two groups
  • Nonlinear regression (NLR) and constrained nonlinear regression (CNLR) – Estimate parameters of nonlinear models
  • Probit analysis – Evaluate the value of stimuli using a logit or probit transformation of the proportion responding

Customized tables
IBM SPSS Statistics Standard enables you to quickly “slice and dice” your data. Then you can create customized tables to help you better understand your data and easily report your results.

Be ready for everyday analytical tasks with IBM SPSS Statistics Standard, and get results quickly and easily. Contact your sales representative to learn more – and ask about our informative webcasts and newsletters on predictive analytics.


IBM SPSS Statistics 19 for Windows

  • Operating system: Microsoft Windows XP (Professional, 32-bit) or Vista® (Home, Business, 32- or 64-bit), Windows 7 (32- or 64-bit)*
  • Hardware:
    • Intel® or AMD x86 processor running at 1GHz or higher
    • Memory: 1GB RAM or more recommended
    • Minimum free drive space: 800MB
    • DVD drive
    • Super VGA (800x600) or higher-resolution monitor
  • For connecting with IBM SPSS Statistics Server, a network adapter running the TCP/IP network protocol
  • Web browser: Internet Explorer 7 or 8

IBM SPSS Statistics 19 for Mac

  • Operating system: Apple® Mac 10.5x (Leopard™) and 10.6x (Snow Leopard™), 32- and 64-bit
  • Hardware:
    • Intel processor (32- and 64-bit)
    • Memory: 1GB RAM or more recommended
    • Minimum free drive space: 800MB
    • DVD drive
    • Super VGA (800x600) or higher-resolution monitor
  • Web browser: Mozilla® Firefox® 2.x and 3.x

IBM SPSS Statistics 19 for Linux

  • Operating system: Any Linux OS that meets the following requirements (32 bit only):
    • Kernel 2.6.3
    • glibc 2.8
    • libstdc++5
    • XFree86-4.7
  • Hardware:
    • Processor: Intel or AMD x86 processor running at 1GHz or higher
    • Memory: 1GB RAM or more recommended
    • Minimum free drive space: 800MB
    • DVD drive
    • Super VGA (800x600) or a higher-resolution monitor
  • Web browser: Mozilla® Firefox® 2.x and 3.x

* Windows 2000 is not a supported platform.

 


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