Embedding data manipulation in statistics education | Zendy

James Musyoka | Zendy; John Lunalo | Zendy; Cathy Garlick | Zendy; Steven Ndung’u | Zendy; David Stern | Zendy; Danny Parsons | Zendy; R. D. Stern | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Embedding data manipulation in statistics education

Author(s) -

James Musyoka,

John Lunalo,

Cathy Garlick,

Steven Ndung’u,

David Stern,

Danny Parsons,

R. D. Stern

Publication year - 2017

Language(s) - English

Resource type - Conference proceedings

DOI - 10.52041/srap.17503

Subject(s) - computer science , data science , statistics education , data collection , subject (documents) , embedding , data analysis , software , component (thermodynamics) , work (physics) , data entry , data mining , statistics , information retrieval , artificial intelligence , world wide web , mathematics , engineering , programming language , mechanical engineering , physics , 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research