ASSESSING STATISTICAL MODELLING KNOWLEDGE IN TERTIARY EDUCATION IN ANAMBRA STATE

Authors

  • Chike Obienyem Federal College of Education Technical, Umunze, Anambra State Author

Keywords:

Statistics modelling, knowledge, gender

Abstract

This study investigates the knowledge levels of statistical modelling among students in Tertiary Education in Anambra State, Nigeria, highlighting significant variances in comprehension and engagement. A convenience sample of one hundred and forty-eight (n = 122) first-year undergraduates comprising 71 females (65.5%) and 51 males (34.5%) aged 16 to 28 years old participated in the study. The data reveals that a large proportion of students fall within the low (39.34%) and very low (20.49%) knowledge categories, while only a small fraction demonstrates high (11.48%) or very high (7.38%) proficiency. These findings underscore the critical need for enhanced educational strategies to improve students' understanding of statistical modelling. The implications suggest that students can apply statistical concepts in real-world scenarios with targeted interventions, impacting their academic and professional success. This study provides a foundation for further exploration into improving statistical education in Nigeria, ensuring students are better equipped to meet academic and professional demands.

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Published

2025-04-05

How to Cite

ASSESSING STATISTICAL MODELLING KNOWLEDGE IN TERTIARY EDUCATION IN ANAMBRA STATE. (2025). International Journal of Functional Research in Science and Engineering (IJFRSE) , 3(1). https://www.journalfrse.com/journal/article/view/66

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