SPSS Statistics Standard

Fundamental analytical capabilities for a wide variety of business and research questions

The IBM SPSS Statistics Standard Edition offers the core statistical procedures business managers and analysts need to address fundamental business and research questions. This software provides tools that allow users to quickly view data, formulate hypotheses for additional testing, and carry out procedures to clarify relationships between variables, create clusters, identify trends and make predictions.

The IBM SPSS Statistics Standard edition includes the following key capabilities:

  • Linear models offer a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships.
  • Nonlinear models provide the ability to apply more sophisticated models to data.
  • Simulation capabilities help analysts automatically model many possible outcomes when inputs are uncertain, improving risk analysis and decision making.
  • Customized tables enable users to easily understand their data and quickly summarize results in different styles for different audiences.

Linear models

  • Statistics Standard includes generalized linear mixed models (GLMM) for use with hierarchical data.
  • This software has general linear models (GLM) and mixed models procedures.
  • It includes generalized linear models (GENLIN), including widely used statistical models such as linear regression for normally distributed responses, logistic models for binary data, and loglinear models for count data. GENLIN also offers many useful statistical models through its very general model formulation.
  • Generalized estimating equations (GEE) procedures extend generalized linear models to accommodate correlated longitudinal data and clustered data.

Nonlinear models

  • Multinomial logistic regression (MLR) predicts categorical outcomes with more than two categories.
  • Binary logistic regression classifies data into two groups.
  • Nonlinear regression (NLR) and constrained nonlinear regression (CNLR) estimate parameters of nonlinear models.
  • Probit analysis evaluates the value of stimuli using a logit or probit transformation of the proportion responding

Simulation capabilities

  • Monte Carlo techniques provide the ability to simulate data according to parameters you specify, and then use that simulated data as input for predicting an outcome.
  • The parameters used can be modified to simulate the data and compare outcomes.
  • Specifications for a simulation can be saved to a simulation plan file.
  • Simulations may be run using specifications from a loaded simulation plan file. Users can also provide specifications in the user interface and run the simulation from the interface.

Customized tables

  • Means or proportions are compared for demographic groups, customer segments, time periods or other categorical variables when including inferential statistics.
  • The software creates summary statistics - from simple counts for categorical variables to measures of dispersion – and sorts categories by any summary statistic used.
  • It includes three significance tests: Chi-square test of independence, comparison of column means (t test), or comparison of column proportions (z test).
  • An interactive table builder provides drag and drop capabilities for creating pivot tables.
  • It excludes specific categories, displays missing value cells and can add subtotals to tables.
  • Tables can be previewed in real time and modified as they are created.
  • Tables are exportable to Microsoft® Word, Excel®, PowerPoint® or HTML for use in reports.

SPSS Statistics Standard resources

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Fundamental analytical capabilities for a wide variety of business and research questions

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SPSS Statistics Standard improves decision making and risk analysis with latest release

IBM SPSS Statistics Standard delivers new simulation modeling techniques to help you make better decisions and assess risk under uncertain conditions. In addition, the software includes enhancements that enable users to program in Java, import more types of data, enhance security and more.

The latest version of SPSS Statistics Standard brings you:

  • New simulation modeling capabilities—combine risk analysis and Monte Carlo simulation techniques to enhance quantitative analysis and decision making.
  • New Java plug-in—extend the SPSS Statistics command syntax language and introduce additional statistical functionality.
  • Enhancements that build on previous releases—support for more data types, work with pivot tables more easily, improve data security and analyze data faster.

New simulation modeling capabilities

  • Assess “what if” scenarios to predict outcomes of different business decisions.
  • Simulate data according to user-specified parameters, and use simulated data as input to predict an outcome.
  • Adjust the parameters used to simulate the data and compare outcomes. For example, simulate different advertising budget amounts to see how they are likely to affect total sales.
  • Support the use of predictive models to calculate the outcome.

New Java plug-in

  • Drive the SPSS Statistics analytical engine from an external application.
  • Implement extension commands in Java so that you can share Java programs with users of SPSS command syntax.

Enhancements that build on previous releases

  • Support for more data types— now you can easily import IBM Cognos Business Intelligence data into SPSS Statistics. Read custom data with or without filters and import pre-defined IBM Cognos reports.
  • Ability to compare data files — increase the accuracy of your analysis by comparing two datasets or files in SPSS Statistics to identify any discrepancies between them.
  • Increased data security – apply password protection to your data and output files to prevent others from seeing confidential information in SPSS Statistics.
  • Explore pivot tables easily—work with output using new features such as sorting operations, a navigation pane and search operations.

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IBM SPSS Statistics for Linux on System z

Get IBM® SPSS® Statistics for Linux on System z to access, manage and analyze high volumes of data. This version combines the advanced analytical power of SPSS Statistics with the security, availability and stability of the System z platform, enabling your organization to make accurate decisions faster and deploy them throughout the enterprise.

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