Facilitating statistical software using SS E Guide / N. Ahmad, A.M. Nasir, and S. Masrom

N., Ahmad and A.M., Nasir and S., Masrom (2019) Facilitating statistical software using SS E Guide / N. Ahmad, A.M. Nasir, and S. Masrom. Journal of Creative Practices in Language Learning and Teaching (CPLT), 7 (1). pp. 21-26. ISSN 1823-464X

Abstract

The process of data analysis for the purpose of research is very important and this process
sometimes is very complicated, especially for researchers who do not have any statistical basis.
We developed specific software to analyze the data. The problem occurs when students are not
familiar with such software. The most important process in the analysis of data is to run the
correct analysis. For example, analysis of mean between samples can be done either using
parametric or non-parametric test. If students choose the wrong analysis, this will lead to the
inappropriate conclusion. The second problem face by the students is how to use statistical
software. Some software will produce output even if the method chosen is not suitable. So this E
Guide application is intended to facilitate two things: how to choose the appropriate analysis
data and how to use statistical software to get the correct output. E Guide also provides
interpretation of output from example provided.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
N., Ahmad
UNSPECIFIED
A.M., Nasir
UNSPECIFIED
S., Masrom
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Programming. Rule-based programming. Backtrack programming
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Database management
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: Journal of Creative Practices in Language Learning and Teaching (CPLT)
UiTM Journal Collections: UiTM Journal > Journal of Creative Practices in Language Learning and Teaching (CPLT)
ISSN: 1823-464X
Volume: 7
Number: 1
Page Range: pp. 21-26
Keywords: Data analysis. Statistical software. E Guide
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/30553
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30553

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