
IBM SPSS software
The IBM® SPSS® software platform provides advanced statistical analysis, a comprehensive library of machine learning algorithms, text analysis capabilities, open-source extensibility, integration with big …
IBM SPSS Statistics
IBM SPSS Statistics is a comprehensive statistical analysis platform designed to help organizations and individuals extract reliable insights from data. It combines robust statistical testing, predictive …
IBM SPSS Statistics - Features
See key features for IBM SPSS Statistics editions, a comprehensive statistical analysis software platform designed for ease of use and quick insights.
Tutorial: Analyzing with SPSS Statistics - IBM
This tutorial describes how to use IBM SPSS Statistics to analyze data that is stored in a Db2 database.
IBM SPSS Statistics - Resources
See resources for IBM SPSS Statistics, a comprehensive statistical analysis software platform designed for ease of use and quick insights.
Beyond the silos: Unifying statistical power with SPSS Statistics ... - IBM
With data visualization capabilities, advanced statistical analysis methods and modeling techniques, IBM SPSS Statistics enables users to pursue a comprehensive analytical journey from data preparation …
Data Preparation - IBM SPSS Statistics
IBM® SPSS® Data Preparation performs advanced techniques to streamline the data preparation stage, delivering faster, more accurate data analysis results. Choose from an automated data preparation …
Sample Files - IBM
This data file contains survey data, including demographic data and various attitude measures. It is based on a subset of variables from the 1998 NORC General Social Survey, although some data …
Download and installation instructions - IBM
You can push the full installation of IBM SPSS Statistics to the end-user desktop computers running Windows. The technology that you are using for pushing the installation must support the MSI 3.0 …
The processes for reading data stored in IBM SPSS Statistics data files; spreadsheet applications, such as Microsoft Excel; database applications, such as Microsoft Access; and text files are all discussed …