The challenges in solving applications of statistical tests: A case study of non-statistical student

• Published in: AIP Conference Proceedings
• Main Author: Ahmat H.
• Format: Conference paper
• Language: English
• Published: American Institute of Physics 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203194291&doi=10.1063%2f5.0223888&partnerID=40&md5=4d6c4aee834a1580d0de263e6676da82

With the strike of the covid-19 outbreak end of 2019, the styles of teaching and learning at the higher institutions all over the world were forced to online platforms. This paper discusses the difference level of understandings in solving the hypothesis testing problems for four different groups of non-statistical students at the Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia. Methodology: This observational study involved 102 students comprises of four groups (A, B, C and D) from the Faculty of Hotel and Tourism Management, UiTM Shah Alam who enrolled for Statistics for Business and Social Sciences during academic semester March - August 2022. The scores of test which consist of six problems related to hypothesis testing for one population mean, the difference of two-population means, dependent (paired) samples, Analysis of Variance (ANOVA), test of association and Regression were analyzed using the Welch's ANOVA test. Result: The findings clearly show that whilst the students from different groups received the same method of lectures and guidance from the same lecturer, the scores for test were significantly different between two groups; between A and C and between C and D. The scores for Question 1 - Regression analysis and Question 3 - Analysis of Variance (ANOVA) questions were significantly different between group C and D and the scores for Question 1 only between group B and C. In addition, this paper innovatively identifies prevalent statistical errors committed by students, contributing to enhanced understanding and improved learning in statistics. © 2024 Author(s).