SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education
Vol. 11 No. 2 (2022)

Analysis of Student Errors in Solving Statistics Problems in terms of Mathematical Ability

Nurwati Djam'an (Department of Mathematics, Universitas Negeri Makassar, Indonesia)
Sahid Sahid (Department of Mathematics, Universitas Negeri Makassar, Indonesia)
Fitrah Auliyah (Department of Mathematics, Universitas Negeri Makassar, Indonesia)



Article Info

Publish Date
29 Sep 2022

Abstract

This research is a qualitative research that aims to find out student errors. The research subjects consisted of 3 students. The technique of taking the subject in this study amounted to three students with high, medium and low mathematical ability categories. The instrument in this study used tests and interviews. Data collection techniques in this study are giving tests and interviews. The data analysis technique uses the Miles and Huberman model, namely data reduction, data presentation, and conclusions. Based on the results of the study, it showed that students with low abilities made four types of errors, namely, comprehension errors, transformation errors, process skill errors. Students with moderate math skills make three types of errors, namely, transformation errors, process skill errors, and encoding errors, and students with high math skills make 2 types of errors, namely transformation errors and encoding errors.

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Journal Info

Abbrev

sainsmat

Publisher

Subject

Biochemistry, Genetics & Molecular Biology Chemistry Immunology & microbiology Mathematics Physics

Description

SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education is journal of Applied Sciences and Mathematics research and innovation, also consider multidisciplinary research and innovation in related field. It is an open-access journal that publishes research outcomes with significant ...