Journal of Applied & Computational Mathematics

Investigating Similarity Ratios of Student Teachers Unfair Advantage Performance in Mathematics using Kolmogorov-Smirnov Test

Abstract

Maxwell Seyram Kumah*

Student teachers’ increase rate in resit in mathematics courses at college is very worrisome situation that need urgent attention.

Purpose: The study aimed to investigate the similarity ratios that exist between male and female student teacher with casualty and those without casualty in relation to their mathematics performance in college. Two hypotheses were set to test similarity among the variables.

Method: A quantitative research approach with case study research design was employed. Participants (level 300 student teacher who took some mathematics courses) were purposively selected. A sample 999 of them from seven Colleges of Education (CoEs) from Volta and Oti regions were randomly selected.

Results: The results established that there was a significant difference between male and female student teachers, based casualty and non – casualty academic performance. However, it was interesting to note that the difference occurred within the score range of 60 – 69%. For non – casualty distribution group it was found that 0.028 < 0.058 indicating a significant difference between male and female student teachers. Similarly, it was found that 0.028 < 0.038 indicated a significant difference between male and female in the casualty distribution group of student teachers’ academic performance in mathematics at college. In addition, there was an overall academic performance difference between the casualty and non – casualty distribution groups where 0.039 and 0.058 respectively were less than 0.465. This suggest that there is a significant difference between casualty and non – casualty student teachers in their mathematics academic performance.