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SPSS DOWNLOAD FOR MAC SOFTWARE TRIAL

Like you would expect, there are a variable editor and numerous graph templates.Īn output window is included for data visualization purposes. It lets you activate spectral analysis, create new models, and perform quality control, data simulation, and ROC curve analysis. You can use the application for calculating ratios, frequencies, plot generation, ANOVA tests, T-tests, linear model processing, generalized model processing, regression estimates, curve estimates, data classification, and so much more. In addition, it has many other innovative statistical analytical functions. The application has data management tools that allow you to perform data validation, data comparison, duplicate identification, file merging, file restricting, variable sort, and file splitting.

It lets you manually type in data or perform database importing from dBase, Lotus, text files, Excel, or Cognos BI. This package has a data editor, which is like the common spreadsheet application. The standard edition offers both graphical and statistical capabilities that any user can understand.

These experts know about statistical research tools and methods for the purpose of accurate decision making. This package is really a suite of utilities that are designed for statistical programmers and analysts. It offers innovative data management tools and a variety of utilities which evaluate huge data set, sense trends in the data, and then give accurate predictions.

Direct Marketing – Easier access to pre-built models, better ways to score data, and access to customer information in Salesforce.IBM SPSS Statistics is a popular statistical analysis package used throughout the world.

Default Measurement Level – Automatically sets your measurement level during analysis in IBM SPSS Statistics Base and modules.Syntax Editor – More than a dozen performance and ease-of-use enhancements for writing syntax in IBM SPSS Statistics Base and modules.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 DOWNLOAD FOR MAC SOFTWARE TRIAL

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.