Solving the statistical test selection problem in hypothesis testing / Foo Kien-Kheng... [et al.]

Kien-Kheng,, Foo and Azlan, Nuralina and Idris, Noraini and Ahmad, Siti Noor Dina (2016) Solving the statistical test selection problem in hypothesis testing / Foo Kien-Kheng... [et al.]. Journal of Academia, 4 (1). pp. 12-20. ISSN 2289-6368


Hypothesis testing is widely regarded as a valuable tool for data analysis but it is conceptually difficult to understand and even more difficult to carry out the procedure.
Even so, interpretation of the results is often littered with mistakes and misuses. This paper proposes an approach through the use of STestMAP. It is a tool resembling a concept map designed to assist researchers in identifying relevant univariate statistical tests to match their research objectives. An earlier study in the efficacy of this approach as a tool to acquire selection skills has shown STestMAP provides a flexible structure in assisting users to successfully identify the statistical test but further research is needed to confirm the usefulness of STestMAP.


Item Type: Article
Email / ID Num.
Kien-Kheng,, Foo
Azlan, Nuralina
Idris, Noraini
Ahmad, Siti Noor Dina
Subjects: H Social Sciences > HA Statistics > Statistical data
H Social Sciences > HA Statistics > Theory and method of social science statistics > Surveys. Sampling. Statistical survey methodology
Q Science > QA Mathematics > Analysis
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Journal of Academia
UiTM Journal Collections: UiTM Journal > Journal of Academia (JoA)
ISSN: 2289-6368
Volume: 4
Number: 1
Page Range: pp. 12-20
Keywords: Statistical Tests, Test Selection Problem, Hypothesis Testing
Date: 2016
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