Multivariate Analysis of Factors Underlying Female under Representation in Learning Mathematics

In this paper, we present the factors underlying female under representation in the study of Mathematics among Senior High School students. This study was cross-sectional in design. Stratified random technique was used to select the sample. By using multivariate analysis, two hundred and ninety-eight (298) female students were selected with a response rate of 100 % and questionnaires were administered to them. Some selected factors pertaining to the students friends, parents, teachers and themselves that are underlying female under representation in learning mathematics were analysed for the study at p less than 0.05. The results obtained showed that not all the selected factors were significant factors underlying Female Under Representation in Learning Mathematics. We also concluded that teachers should pay more attention to female students in and out of the classroom to raise their interest in learning Mathematics.