Best Statistical Analysis Software for Mac of 2024

Find and compare the best Statistical Analysis software for Mac in 2024

Use the comparison tool below to compare the top Statistical Analysis software for Mac on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    GraphPad InStat Reviews

    GraphPad InStat

    GraphPad Software

    Statistics programs are often designed by statisticians for statisticians. These programs are feature-rich and powerful, but they can overwhelm scientists with dense manuals, obscure statistical terminology, and high prices. GraphPad InStat offers a different approach. InStat was designed by scientists for scientists. InStat makes it easy for even the most novice statistician to analyze data in a matter of minutes. InStat is a simple way to learn statistics. InStat takes you through statistical analyses and helps you to conquer the learning curve. In just a few minutes, you'll be able to master the program. You don't need to know the name or number of the test you need. InStat will help you choose the right test by asking you questions about your data. The extensive help screens will provide clear explanations of statistical reasoning in plain English. InStat doesn't assume you're a statistician. It presents results in plain English, with little statistical jargon. The help screens in InStat explain how to use each test.
  • 2
    OpenText Magellan Reviews
    Machine Learning and Predictive Analytics Platform. Advanced artificial intelligence is a pre-built platform for machine learning and big-data analytics that can enhance data-driven decision making. OpenText Magellan makes predictive analytics easy to use and provides flexible data visualizations that maximize business intelligence. Artificial intelligence software reduces the need to manually process large amounts of data. It presents valuable business insights in a manner that is easily accessible and relevant to the organization's most important objectives. Organizations can enhance business processes by using a curated combination of capabilities such as predictive modeling, data discovery tools and data mining techniques. IoT data analytics is another way to use data to improve decision-making based on real business intelligence.