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#Spss 20 trial download download#

Automatic Linear Models – Build powerful linear models in an easy, automated way in IBM SPSS Statistics Base Statistics portal – Provide customized, Web-based analysis capabilities to colleagues and customers in IBM SPSS Statistics Server Faster Performance - For compiled transformations in IBM SPSS Statistics Server and up to 200% performance gain for generating pivot tables in IBM SPSS Statistics Base Generalized Linear Mixed Models – Create more accurate models for predicting non-linear outcomes in the Advanced Statistics module

#Spss 20 trial download download#

Contact your sales representative to learn more – and ask about our informative webcasts and newsletters on predictive analytics.Ĭlicking the download button will take you to the IBM website where, after logging in, you'll be able to download the trial version. Then you can create customized tables to help you better understand your data and easily report your results.īe ready for everyday analytical tasks with the IBM SPSS Statistics Standard Edition, and get results quickly and easily. The IBM SPSS Statistics Standard Edition enables you to quickly “slice and dice” your data. Probit analysis – Evaluate the value of stimuli using a logit or probit transformation of the proportion responding.Nonlinear regression (NLR) and constrained nonlinear regression (CNLR) – Estimate parameters of nonlinear models.

Binary logistic regression – Easily classify your data into two groups.

Multinomial logistic regression (MLR) – Predict categorical outcomes with more than two categories.

You can also apply more sophisticated models to your data using a wide range of nonlinear regression models, using these procedures: The IBM SPSS Statistics Standard Edition features a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships, including: With the IBM SPSS Statistics Standard Edition, 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.