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  1. 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.

  2. 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.

  3. IBM SPSS Statistics

    Get clear insights from your data—plan, collect, analyze and report data all in one product with SPSS Statistics. Enable easy open source integration—turbocharge your research with an …

  4. Advanced Statistics - IBM SPSS Statistics

    IBM SPSS Advanced Statistics provides sophisticated analytical techniques and models to help you gain deeper insights from your data.

  5. 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, …

  6. Beyond the silos: Unifying statistical power with SPSS Statistics

    With data visualization capabilities, advanced statistical analysis methods and modeling techniques, IBM SPSS Statistics enables users to pursue a comprehensive analytical journey …

  7. 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 …

  8. Missing Value Analysis - IBM

    Linear Regression and Factor Analysis allow replacement of missing values by the mean values. In the Forecasting add-on module, several methods are available to replace missing values in …

  9. 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 …

  10. Missing Values - IBM SPSS Statistics

    Uncover the patterns behind missing data, estimate summary statistics and impute missing values using statistical algorithms. The module helps you build models that account for missing data …