Introduction to Statistical Analysis Tools
The mathematical computations used for data analysis is called statistics. Description, summarization, and comparison of data can be done using tools called statistical analysis tools. The statistical data can be analyzed using various tools. Statistical data analysis ranges from simple computations to analysis in advanced level. The computation of basic analysis is simple whereas the computation of advanced analysis needs a good understanding of statistics in advanced level and understanding of computer software. Software designed for statistical analysis makes the process of understanding what to do with the data and how to perform results interpretation, as easy as possible.
Types of Statistical Analysis Tools
There are several tools available to carry out statistical analysis of data. They are:
1. Statistical Package for the social sciences (SPSS)
The most widely used software package for statistics within human behavior research is the Statistical Package for the social sciences. The capability to compile descriptive statistics, parametric and non-parametric analysis, Graphical User Interface (GUI) to depict the results graphically is offered by statistical package for the social sciences. The analysis can be automated by creating scripts and this option is included in the statistical package for the social sciences.
2. R Foundation for Statistical Computing
The software package for statistical analysis used in the field of human behavior research and other fields and is available for free is R. The different aspects of data processing can be simplified by a great range of applications for which the toolboxes are available. R requires coding to a certain degree though R is a powerful software. R also has a learning curve that is steep. A community is actively engaged to build and improve R and the plugins that are associated.
3. Matlab (The MathWorks)
Engineers and scientists widely use an analytical platform and programming language called Matlab. The learning curve is steep and the own code must be created at some point. Research questions can be answered using toolboxes that are available in large numbers. For example, EEG data can be analyzed using the EEGLAB tool. Learning Matlab is difficult for beginners but there is huge flexibility in terms of what you want to do if the coding can be done.
4. Microsoft Excel
Microsoft Excel is not an advanced solution for statistical analysis, but a wide variety of tools is offered by Microsoft excel for data visualization and simple statistics. Microsoft excel becomes a useful tool for those who want to see the basics of their data by generating summary metrics, customizable graphics, and figures. Many individuals and companies own and know how to use excel and this makes it easier for anyone to start learning statistics.
5. Statistical Analysis Software (SAS)
Advanced analysis can be performed by either using the graphical user interface or creating scripts on a statistical analysis platform called Statistical Analysis Software (SAS). It is an advanced solution used in the area of healthcare, business, human behaviour research, etc. Advanced analysis can be performed and graphs, charts can be produced that are worthy of the publication even though coding is difficult for those who are not used to such an approach.
6. GraphPad Prism
The statistics related to biology makes use of software called GraphPad prism. GraphPad Prism is not only used in statistics related to biology but can be used in various other fields as well. Just like in Statistical Package for Social Sciences the analysis can be automated and complex statistical calculations can be carried out using scripting options, but Graphical User Interface is the gateway for the majority of work.
Data analysis can be carried out using both basic and advanced statistical tools offered by a software called Minitab. Graphical User Interface and scripted commands execute commands like in GraphPad Prism making it available to both beginners and for those who are looking out to carry complex analysis.
8. Stat Graphics
Stat graphics has powerful functionality designed for professional users and businesses across the globe. The advantages of business analytics can be experienced by even non-statisticians by using stat graphics. Statistical analysis can be run, models can be built, and experiments can be designed in an interface that is intuitive.
The analytical capabilities of Excel can be enhanced by using a variety of tools provided by XLSTAT. This makes it ideal for statistics and data analysis requirements.
10. Qlik Sense
Analytical use cases can be supported by using business intelligence (BI) and a visual analytics platform called Qlik sense.
11. Origin Pro
User-friendly, point and click interface to visualize, analyze and explore the data is called Origin Pro. The batch operations can be optimized with the workflow.
12. Wolfram Mathematica
The tools are provided for image processing, geometry, visualization, machine learning, data mining, etc. by a technical computing system called Wolfram Mathematica.
13. Phocas Software
A cloud-based, SaaS company with data analytics specialization for manufacturing, distribution, and retail industries is called Phocas.
The leader in next-generation business intelligence and analytics offering automation, optimization, and agility for the complete business intelligence process is called Birst.
15. SAS Business Intelligence
A business intelligence software to prepare data, to discover valuable insights and share it in a governed, self-served manner is SAS Business intelligence software.
16. Sigma Plot
The businesses create and manage two dimensions and three dimensions visualizations of data by using scientific graphing and data analysis solution called Sigma Plot.
17. Matomo Analytics
Matomo Analytics is an open-source web analytics platform. It is used in one hundred and ninety countries on over 1.4 million websites. Matomo Analytics was formerly called Piwik.
There are several software tools available and each software tool offers different functionality to the user. The functionality we choose will depend on the number of factors like research questions, statistics knowledge, and coding experience. These factors mean that we are at the peak of data analysis but with any research, the quality of data obtained is directly proportional to the quality of study execution.
This has been a guide to Statistical Analysis Tools. Here we discuss the basic concept with 17 different types of Statistical Analysis Tools in detail. You may also have a look at the following articles to learn more –