Yahoo Web Search

Search results

  1. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels.

  2. www.ibm.com › products › spss-statisticsIBM SPSS Statistics

    Nov 13, 2023 · IBM® SPSS® Statistics is a powerful statistical software platform. It offers a user-friendly interface and a robust set of features that lets your organization quickly extract actionable insights from your data. Advanced statistical procedures help ensure high accuracy and quality decision making.

  3. IBM® SPSS® Statistics is the world’s leading statistical software used to solve business and research problems by means of ad-hoc analysis, hypothesis testing, and predictive analytics. Organizations use IBM SPSS Statistics to understand data, analyze trends, forecast and plan to validate assumptions and drive accurate conclusions.

  4. IBM® SPSS® Statistics has flexible pricing plans. See which option is right for you—from monthly subscriptions to perpetual licenses and special pricing for students and educators, there is an option for everyone. Choose 12 months with auto-renewal and save 10% on subscriptions and add-ons. Buy now Subscription pricing

  5. en.wikipedia.org › wiki › SPSSSPSS - Wikipedia

    SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics .

    • 1968; 55 years ago
    • 29, / September 13, 2022; 12 months ago
  6. 10% discount Save 10% on a subscription and add-ons when you choose 12 months with auto-renewal All SPSS features Use univariate and multivariate modeling for more complex analyses. Predict categorical outcomes and apply nonlinear regression procedures. Summarize large data sets easily.

  7. People also ask

  1. People also search for