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The procedure for students to acquire software through Unisa ICT:
*The lecture/supervisor should log a services Request on behalf of their students (providing the student details, contact number and email address)
* The Technician will contact the student to make an appointment/ students will have to walk-in Unisa ICT with the Service Request Number to be assisted.
*If the student is far, the lecture/supervisor can arrange to send the software link or CD to the student.
Should you wish to make use of this software please complete the form below.
Unisa Software License Agreement Form
The form is to be signed by the relevant head of department/study supervisor and then sent by the Head of Department or Study Supervisor to:
Useful links on statistical software
The SPSS Tutorial teaches the user how to open a data file, conduct the analysis, and observe the output of the analysis.
AMOS is statistical software and it stands for analysis of a moment structures. AMOS is an added SPSS module, and is specially used for Structural Equation Modeling, path analysis, and confirmatory factor analysis.
Learn different ways to interact with Mathematica—enter queries through free-form input and the Wolfram Language, create notebooks, perform symbolic and numeric calculations, generate 2D and 3D graphics, create interactive Manipulates, analyze data and turn your notebook into an interactive presentation. Topics are based on content from the book Hands-on Start to Wolfram Mathematica and Programming with the Wolfram Language, which is available in paperback and on Kindle. Explore these topics in more detail with the free online Hands-on Start training tutorials. This content requires no prior experience with Mathematica or the Wolfram Language.
R statistical software
Statistical software: R
R (programming language) R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis (Wikipedia 2017)
A wealth of tutorials, articles, and examples exist to help you learn R and its extensions. Scroll down or click a link below for a curated guide to learning R and its extensions.
EViews Descriptive Statistics
Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire population or a sample of it. Descriptive statistics are broken down into measures of central tendency and measures of variability, or spread (Investopedia).
User’s Guide describes EViews fundamentals and describes using EViews to perform basic data analysis and display results