On-line software activation required on all versions of SPSS. Students can focus on statistics instead of spending time writing program code. Its menu-driven system for selecting various statistical analyses and report writing make it a favourite for many introductory statistics courses. It is used in a wide variety of disciplines. SPSS is a powerful, feature-rich, statistical analysis program. Purchase online at while on the UofT network (wired and wireless).

Installation Media: Installation media is included with online purchase.

System Requirements for SPSS for Windows:.

SPSS 27 and below is no longer supported.

SPSS 28 is supported on 10.13 and above.

Supported Operating Systems: Windows, Mac.

Cost: $90 per single machine SPSS license.

Collaborate and share Collaborate with others on your data using the Teamwork Server, and share your results and reports using the Output Delivery System (ODS).

Improve data quality Check for and correct data errors using the Data Validation facility.Save time with automation Automate repetitive tasks using the job control language (JCL) and scripting language (SPSS Script).Create custom tables and reports Generate custom tables and reports using the Output Management System (OMS).Work with large data sets Process large data sets quickly and accurately using in-memory computing technology.Use SPSS Statistics Base with other modules, such as IBM SPSS Regression and IBM SPSS Advanced Statistics, to more accurately identify and analyze complex relationships.

Develop R programs to be used with IBM SPSS Statistics using the integrated R development environment.

Apply Monte Carlo simulation techniques to your data to take into account uncertainty in prediction models and determine the probability of a particular business outcome when not all data is available.

Integrate, explore, and model location and time data by using geospatial analysis, including Space-Time Prediction (STP) and Generalized Spatial Association Rules (GSAR).

Automate the prediction of numerical outcomes with the automatic linear modeling (ALM) function.Predict numerical outcomes and identify groups using factor analysis, cluster analysis, linear regression, ordinal regression, discriminant analysis, and nearest neighbor analysis.Analytical procedures Carry out a wide range of descriptive procedures that include: cross-tabulations, frequencies, comparison of means, and correlation.

Spss download free for students