Minitab vs SPSS. Free Software Development Course. Login details for this Free course will be emailed to you. Email ID. Contact No. Minitab is general-purpose software that is primarily used for quality management and well suited for instructional applications. Generally, SPSS is used by the researchers for statistical research and statistical analysis. SPSS is written in Java language and the researchers use R language for using it in statistical analysis.
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 or at least operate the toolbox you require. While not a cutting-edge solution for statistical analysis, MS Excel does offer a wide variety of tools for data visualization and simple statistics.
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. SAS is a statistical analysis platform that offers options to use either the GUI, or to create scripts for more advanced analyses. It is a premium solution that is widely used in business, healthcare, and human behavior research alike.
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. There are a range of different software tools available, and each offers something slightly different to the user — what you choose will depend on a range of factors, including your research question, knowledge of statistics, and experience of coding.
Minitab Express enables instructors to seamlessly teach across platforms, giving students greater flexibility, and the emphasis on introductory statistics allows both instructors and students to focus on concepts rather than software. Seven new nonparametric tests and three new variance tests provide more options for hypothesis testing. Enhanced graph editing features enable you to display histogram bins using midpoints or cutpoints, and choose between frequency, percent and density scales; easily switch between counts or percents after creating a bar chart; add a connect line between points on a scatterplot; transpose graph axes on boxplots; and more.
With one click, you can quickly return to any dialog, change your inputs and settings, and generate new output. R is widely used in the Medical and Research areas. Whereas Python is widely used in IT and other business areas. Conclusively, if you are an energetic Statistician with a drive to push your limits, R is your go-to partner. If you are fluent with Statistics and aspire to be a Data Scientist one day, then you should definitely learn R. It will not let you down and will only expand your horizons.
Python is an object-oriented high level general purpose programming language. In fact it is one of the highest trending languages right now. Python can do almost all the tasks that R does. Most importantly, python can execute far more complex tasks.
Python is capable of data wrangling, feature selection, web scraping, image analysis, machine learning and so on. Since it is a programming language, the learning curve is bit steep but the effort is totally worth it.
Python is ideal for programmers who are interested in statistical analysis or people who want to pursue in Data Science. Its comparatively easy to execute complex tasks in Python than in R. So in conclusion, If you are a Statistician and not expecting to shift your domain to machine learning or data science soon, Minitab is your partner.
R is your tool if you are a Statistician who is interested in more complex tasks. And if you are in the Academia or the Health Sector, then you should definitely get familiarized with R.
If you aspire to be a Data Scientist or if you are a programmer looking to play with Statistics and you are looking for Job Security, then Python is your savior. In fact, learning such a powerful language will reap huge benefits for you in the long run.
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