American Journal of Educational Research
ISSN (Print): 2327-6126 ISSN (Online): 2327-6150 Website: https://www.sciepub.com/journal/education Editor-in-chief: Ratko Pavlović
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American Journal of Educational Research. 2023, 11(10), 670-676
DOI: 10.12691/education-11-10-6
Open AccessArticle

Grade 12 Students’ Retention in Statistics and Probability amidst Covid-19

Cathlyn P. Dumale1 and Melanie G. Gurat1,

1School of Graduate Studies, Saint Mary’s University, Bayombong, Nueva Vizcaya, Philippines

Pub. Date: September 15, 2023

Cite this paper:
Cathlyn P. Dumale and Melanie G. Gurat. Grade 12 Students’ Retention in Statistics and Probability amidst Covid-19. American Journal of Educational Research. 2023; 11(10):670-676. doi: 10.12691/education-11-10-6

Abstract

This study aimed to assess the retention of grade 12 students in statistics and probability, along with a comparative analysis of these retentions across the distinct topics of the subject. Statistics and probability subjects were taken by the students when they were in grade 11. Employing a quantitative approach, the research used descriptive-comparative design to describe the level of retention of the students and compare the retention of the students in each topic. These encompass random variables and probability distribution, normal distribution, sampling and sampling distribution, and estimation parameters. The retention of the students studying at Nueva Vizcaya General Comprehensive High School, a public school in Nueva Vizcaya, Philippines was analyzed through the validated retention test administered to them. Using frequency count and percent, the result revealed that the grade 12 students’ retention was described as “poor retention rate”. Repeated-measures ANOVA confirmed that the retention of the students in all the topics are all poor. Hence, teachers should consider making an intervention to improve the retention of the students in statistics and probability. They may consider innovative ways to engage the students in learning. Also, the factors that influence the students in solving problems in designing the interventions.

Keywords:
random variables probability distribution normal distribution sampling distribution estimation parameters

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