Statistical software is specialized computer programs which help you to collect, organize, analyze, interpret and statistically design data. There are two main statistical techniques which help in statistical data analysis: descriptive statistics and inferential statistics.
Descriptive statistics organize data from a sample using indexes. Inferential statistics draw a conclusion from data that is a random variant. Statistics are crucial for organizations. They provide factual data which is critical in detecting trends in the marketplace so that businesses can compare their performance against their competitors.
These are the best statistical analysis software:
SPSS, (Statistical Package for the Social Sciences) is perhaps the most widely used statistical software package within human behaviour research. SPSS offers the ability to easily compile descriptive statistics, parametric and non-parametric analyses, as well as graphical depictions of results through the graphical user interface (GUI). It also includes the option to create scripts to automate analysis or to carry out more advanced statistical processing.
The primary mission of RStudio is to build a sustainable open-source business that creates software for data science and statistical computing. You may have already heard of some of our work, such as the RStudio IDE, Rmark down, shiny, and many packages in the tidy verse. Our open-source projects are supported by our commercial products that help teams of R users work together effectively, share computing resources, and publish their results to decision-makers within the organization.
Stata puts hundreds of statistical tools at your fingertips. For data management, statistical analysis, and publication-quality graphics, Stata has you covered.
Origin is a user-friendly and easy-to-learn software application that provides data analysis and publication-quality graphing capabilities tailored to the needs of scientists and engineers. OriginPro offers extended analysis tools for Peak Fitting, Surface Fitting, Statistics, Signal Processing and Image Handling. Users can customize operations such as importing, graphing and analysis, all from the GUI. Graphs, analysis results and reports update automatically when data or parameters change.
While not a cutting-edge solution for statistical analysis, MS Excel does offer a wide variety of tools for data visualization and simple statistics. It’s simple to generate summary metrics and customizable graphics and figures, making it a useful tool for many who want to see the basics of their data. As many individuals and companies both own and know how to use Excel, it also makes it an accessible option for those looking to get started with statistics.
Have you read this:
- Top 10 Data Science Books For Your Career
- Data Science: Free Online Courses For 2020
- The skills required for the digital economy
6. SAS Base
SAS Base is a programming language software that provides web-based programming interface; ready-to-use programs for data manipulation, information storage and retrieval, descriptive statistics and reporting; a centralized metadata repository; and a macro facility that reduces programming time and maintenance headaches.
MatLab is an analytical platform and programming language that is widely used by engineers and scientists. As with R, the learning path is steep, and you will be required to create your own code at some point. A plentiful amount of toolboxes are also available to help answer your research questions (such as EEGLab for analysing EEG data). While MatLab can be difficult to use for novices, it offers a massive amount of flexibility in terms of what you want to do as long as you can code it.
Analyse-it is a statistical analysis software that includes hypothesis testing, model fitting, ANoVA, and PCA, statistical process control (SPC) and quality improvement, analytical and diagNostic method validation for laboratories to meet regulatory compliance.
GraphPad Prism is premium software primarily used within statistics related to biology but offers a range of capabilities that can be used across various fields. Similar to SPSS, scripting options are available to automate analyses, or carry out more complex statistical calculations, but the majority of the work can be completed through the GUI.
The Minitab software offers a range of both basic and fairly advanced statistical tools for data analysis. Similar to GraphPad Prism, commands can be executed through both the GUI and scripted commands, making it accessible to novices as well as users looking to carry out more complex analyses.
If you like my work support me on: https://www.patreon.com/pyoflife