Effect of Moore Method of Teaching on Students? Performance in Gamma and Beta Function in Mathematical and Applied Statistics

The study investigated the effect of Moore Method of Teaching on Students Performance in Gamma and Beta Function in Mathematical and Applied Statistics at Mukuba University. The design for the study was quasi-experimental control group pre-test and post-test design. Sample for the study consisted of 40 third year students at Mukuba University who were not repeating statistics. Data was collected using Gamma and Beta Function Performance Test (GBFPT). Pre-test and Post-test questions were given to both groups. The class was purposively selected to be the research subject. Random assignment was conducted to come up with two groups. A coin was tossed once to come up with two groups. The head represented the experimental group while the tail represented the control group. Experimental group was taught using Moore approach while the control group was taught using conventional learning approach. The experimental group consisted of 20 students while the control group had the same number of students as the experimental group. Data for the study was analysed using mean, standard deviation, Independent Sample T-Test and Analysis of Variance (ANOVA). The null hypothesis was tested at 5 % significance level. The findings of the study revealed that the Moore Method of Learning improved students academic performance in Mathematical and Applied Statistics at Mukuba University. Lecturers at Mukuba University are encouraged to use Moore Learning Approach as a way of improving their students achievement in mathematics. The study also recommended that during peer teaching students should incorporate Moore Learning Approach. This will ensure that student teachers are well grounded on effective teaching and learning approaches for higher academic achievement in mathematics which are the cornerstone for development of the country.