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As part of the Applied Project for the bachelor’s degree program in Applied Mathematics and Digital Technologies, students Carolina Percina and Rinali Pabari conducted an analysis to determine which sociodemographic characteristics most accurately predict a population’s happiness.
To understand which characteristics had the greatest influence on happiness indices, refuting the premise of the impact of money, the students carried out a statistical analysis. As Carolina Percina mentions
Throughout the project, the students had the opportunity to put into practice mathematical knowledge acquired throughout their degree, such as the use of a multiple linear regression model. For the team, mathematics and statistics are precise and reliable methods for analysis.
Projects like this reflect Iscte-Sintra's focus on learning oriented to real application, allowing students to develop skills in preparing studies and analyzes that contribute significantly to society.
