Genstat EDU: What are the differences between Genstat EDU and paid software?
Nowadays there are many statistical software packages that can help to analyze and interpret data. They are similar in logic and wording even if the interface is different. Generally, University students, teachers and researchers use software for statistical analysis. However, our chosen software depends upon the type of data we are interpreting or perhaps we just use what is freely available. Could it be we are missing out on the power of the right statistical software?
In today’s article, we will try to give a brief idea about the differences between Genstat EDU and another paid for Statistical Software (Coding and Non-coding) comparing some of the best statistical software for further study.
Have you ever heard of Genstat EDU?
Genstat EDU version is a general statistics software package for education and research. The purpose is to provide practical tools and learning materials to educational institutes in order to prepare students before going to work in real industries.
The Genstat campus license provides up to 1000 licenses per institute and the package includes a series of supplementary support services such as materials for statistics courses, international communication with statistics experts and a statistical training and certification program. Our aim is to equip students with the knowledge and understanding to move forward with statistics in their future work.
The Program also offers lecturers and students access to the Genstat knowledgebase and global community, e-learning courses, as well as the opportunity for future collaborations between their institute and the Genstat global community.
Genstat can be applied to any field of research. The user interface contains comprehensive menus to guide non-technical users to use statistics correctly and effectively. It also has a powerful programming language that can be used to develop new techniques and complicated experiments. Genstat provides a huge range of statistical procedures, data management, and graphical capabilities. It has powerful spreadsheet facilities for data storage and manipulation and an attractive graphics viewer that allows users to edit and interact with their plots.
Functionality of Genstat EDU
Genstat EDU is a revamped version of the Genstat 20th Edition (Genstat EDU V. 20.1.2), that provides the necessary features for teaching and learning for a generic undergraduate course. Moreover, it comes with the full core engine of Genstat allowing lecturers and students to experience the full power of Genstat. Genstat EDU version covers the general statistical analysis methods (Summary Statistics, Statistical Tests, Distributions, Regression Analysis, Experimental design, Analysis of Variance, Mixed Models (REML), Multivariate Analysis, Survey Analysis, Survival Analysis, Repeated Measurement, Meta Analysis, Genetic Models, Sample size and Bootstrap).
It is very simple to use and includes the majority of tests and methods required for data analysis. Students and lecturers can also benefit from our many online tutorials. Genstat has a long standing history and is widely accepted and validated by the scientific community.
The members of Genstat EDU will receive the support as detailed below.
- Lecturers and students can access the VSN knowledgebase which provides excellent resources for both teaching and learning. (Statistical theory, calculation practice, Datasets from real research).
- Lecturers and students will be able to use Genstat EDU for their learning, research, and publications.
- Lecturers will be able to invite VSN statisticians to give specialist lectures during their courses.
- Students will be provided with opportunities to participate in higher levels of training.
- Students will be provided with the opportunity to acquire global certificates.
- University/Faculty/Department will operate in accordance with the software licence agreement and can ensure the continuity of a learning program and software licence.
- University/Faculty/Department will be able to consider future collaborations such as Summer School Events, Expert knowledge exchange, and Certification, etc.
- Free for lecturer and student
In addition to Genstat, there are many software for statistics such as SPSS, R, SAS, Minitab, etc. Here we will split the software into 2 categories, coding, and non-coding software.
Researchers or students who want to analyse data by using Coding statistical analysis software need knowledge of the software syntax. SAS, MatLab, R, and Stata software are all examples of popular statistical software for data analysis.
SAS is a statistical analysis platform that offers the option to use either the GUI or to create scripts for more advanced analyses.
MatLab is an analytical platform and programming language that is widely used by engineers and scientists. You can run programs on MATLAB to simulate many electronic and mechanical phenomena and develop simplistic applications. They imply the use of toolboxes to help answer your research questions (such as EEGLab for analysing EEG data).
R is a free statistical software package for statistical computing and graphics which can require quite complex coding. It helps with data manipulation, data analysis, and data visualization. Toolboxes (essential plugins) are available for a range of applications, which can simplify various aspects of data processing.
Stata is also one of the free statistical Software for easy Analysis. It is used by researchers in varied fields and disciplines like Applied Economics and Econometrics, Epidemiology, Biostatistics, Political Science, Sociology, etc. If you want to manipulate data, explore, visualize your model or solving any statistical solution then this free statistical tool could help.
Generally, Non-coding statistical software is flexible enough for all users. Here we detail software that supports all statistical methods (ANOVA, Linear regression, Design of experiment, T-test, etc.) with easy to use interface. In this section, SPSS and Minitab are selected to compare with Genstat EDU
SPSS (Statistical package for social science) is one of the software that is used for analysis and computation of statistical data. It helps to provide ad-hoc analysis, select and perform analyses, hypothesis testing manage data, and report making. It can be used to perform data entry, analysis, and table and graph creation. It can handle large amounts of data simultaneously. It has various tools for managing data, including data recording functions, a macros programmer on the Visual Basic editor and complex sets of data for performing aggregations.
Minitab is a software product that helps you to analyze the data. This is designed essentially for the Six Sigma professionals and is the most used software for all types and sizes of business. It allows uses to manipulate data, identify trends and patterns, and then extrapolate answers to current issues.
Last but not least, and our favorite by far is Genstat Edu. Learning a new coding language can be time-consuming and daunting, Genstat Edu offers both options, the Genstats syntax language or the easy to use menu system. SPSS and Minitab, by comparison, do provide statistical methods without coding but the user has to pay to download the software. In addition, when comparing the difference between Genstat with paid software, Genstat has a huge pool of learning resources available for students who want to use effective statistical programs for work or research. Moreover, it’s free in Education. We think this makes Genstat EDU is a good choice.
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