Open AccessEmbedding data manipulation in statistics education
Author(s) -
James Musyoka,
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John Lunalo,
C. Garlick,
Steven Ndung’u,
David Stern,
Danny Parsons,
R. D. Stern,
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Publication year - 2017
Language(s) - English
Resource type - Conference proceedings
DOI - 10.52041/srap.17503
Subject(s) - computer science , data science , data collection , subject (documents) , embedding , statistics education , software , data analysis , work (physics) , component (thermodynamics) , data mining , statistics , artificial intelligence , world wide web , mathematics , engineering , mechanical engineering , physics , programming language , thermodynamics
University courses in statistics in many African countries are dominated by data analysis. This is just one component of the subject and students therefore lack knowledge on many important practical laboratory work components. Here we consider how data collection and data entry can be included in training courses. The next important stage of preparing the data, so it is ready for analysis is also considered. These stages, before data analysis, may use a combination of a spreadsheet, a statistics package and special software. Examples of each are considered.