Statistical software is important when it comes to data analysis and statistics. These tools make the work a lot easier. Instead of doing all the work manually, it can be automated and the findings visualized and analyzed.
Today, I am introducing to you the top 10 best statistical software that are available for free. But before we check out the list of these truly helpful tools, let’s take a look at what statistical software is.
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What Are Statistical Software?
Statistical software, or statistical analysis software, refers to tools that assist in the statistics-based collection and analysis of data to provide science-based insights into patterns and trends. They often use statistical analysis theorems and methodologies, such as regression analysis and time series analysis to perform data science.
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Top 10 Best Free Statistical Software (Statistics and Data Analysis)
1. SAS® software
Whether you’re a professor, teacher, student, or independent learner, you can get easy access to powerful SAS software via the cloud. Setup is easy, too. After you get set up, a broadband internet connection is all you’ll need to run the best analytics software in the world.
2. GNU PSPP
PSPP is a stable and reliable application. It can perform descriptive statistics, T-tests, ANOVA, linear and logistic regression, measures of association, cluster analysis, reliability and factor analysis, non-parametric tests, and more.
Its backend is designed to perform its analyses as fast as possible, regardless of the size of the input data. You can use PSPP with its graphical interface or the more traditional syntax commands.
3. Statistical Lab
The Statistical Lab is an explorative and interactive tool designed both to support education in statistics and provide a tool for the simulation and solution of statistical problems. The graphical user interface is designed to make complex statistical relations easy to understand.
It connects and displays data frames, frequency tables, random numbers, or matrixes in a user-friendly statistical worksheet allowing users to run calculations, conduct analyses, and perform multiple simulations and manipulations.
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4. Develve Statistical Analysis Software
Statistical software for fast and easy interpretation of experimental data in science and R&D in a technical environment. This statistical package helps with analysis and prevents making false assumptions.
In short, it makes statistics faster and easier, suitable for less experienced users but advanced enough for more demanding users.
5. IBM SPSS Statistical Analysis Software
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. All facets of the analytics lifecycle are included, from data preparation and management to analysis and reporting.
6. Stata: Statistical software for data science
Fast. Accurate. Easy to use. Stata is a complete, integrated software package that provides all your data science needs—data manipulation, visualization, statistics, and automated reporting.
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7. Minitab: Data Analysis, Statistical & Process Improvement Tools
Data is everywhere, but are you truly taking advantage of yours? Minitab Statistical Software can look at current and past data to discover trends, find and predict patterns, uncover hidden relationships between variables, and create stunning visualizations to tackle even the most daunting challenges and opportunities. With powerful statistics, industry-leading data analytics, and dynamic visualizations on your side, the possibilities are endless.
8. GraphPad Prism
A versatile statistics tool purposely built for scientists, not statisticians. Get a head start by entering data into tables that are structured for scientific research and guide you to statistical analyses that streamline your research workflow. No coding is required.
9. DataMelt
DataMelt is free software for numeric computation, mathematics, statistics, symbolic calculations, data analysis, and data visualization. This multi-platform program combines the simplicity of scripting languages, such as Python, Ruby, Groovy (and others), with the power of hundreds of Java packages.
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10. GNU Octave
Powerful mathematics-oriented syntax with built-in 2D/3D plotting and visualization tools. Free software, runs on GNU/Linux, macOS, BSD, and Microsoft Windows. Drop-in compatible with many Matlab scripts
