IBM SPSS Statistics Standard V25 Student Grad Pack Click on images to enlarge
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IBM SPSS Statistics Standard V25 Student Grad Pack - For Students Only

(6 Month Fixed Term Download, Academic Authorized User, Multilingual)

Part#: D0FSQLL-25

IBM SPSS Statistics Standard V25 Student Grad Pack allows experienced students to use more advanced analytical algorithms and techniques. It includes IBM SPSS Statistics Base, IBM SPSS Advanced Statistics and IBM SPSS Regression applications. This software solution offers analysts the core statistical procedures they need to address fundamental research questions. The tools included allow students 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.

Features of IBM SPSS Statistics Standard V25 Student Grad Pack

The IBM SPSS Statistics Standard edition features three powerful IBM SPSS Statistics applications:

  • IBM SPSS Statistics Base
  • IBM SPSS Advanced Statistics
  • IBM SPSS Regression

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


  • Monte Carlo simulation techniques enable you to create simulated datasets based on existing data and/or known parameters when the existing data is inadequate.
  • Non-numeric variables such as “male” and “female” can be simulated without recoding them as numeric variables.
  • Existing predictive models and data can be used as the starting points for your simulation, including models exported from Automatic Linear Modeling (ALM) and IBM SPSS Modeler.
  • Associations between categorical inputs are automatically determined and used when generating data for the inputs.
  • Results are calculated over and over, using a different set of random values to produce distributions of possible outcome values and enabling users to select the best one.
  • SPSS Statistics can be used to analyze simulation results and create charts and graphs that convey outcomes and recommended actions to decision-makers.

Geospatial Analytics

  • The Spatio-Temporal Prediction (STP) technique can fit linear models for measurements taken over time at locations in 2D and 3D space, enabling users to predict how those areas may change over time.
  • Associations between spatial and non-spatial attributes can be found with the Generalized Spatial Association Rule (GSAR), which uses historical data such as location, type of event and the time an event happened to describe the occurrences of events, such as crimes or disease outbreaks.

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.
  • Specific categories can be excluded, 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.

Please see the Detailed System Requirements for IBM SPSS Statistics Standard V25 Student Grad Pack below.

The system requirements for SPSS Statistics Standard include operating system and hardware requirements.
Currently, SPSS Statistics Standard is available on the Windows, Linux, and Mac OS platforms.

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