Stat 166 - Statistics for Social Science is a service course offered by the Institute of Statistics to provide students basic knowledge of statistics and its use in the conduct of social research. Topics covered include the statistics in social science research, social research plan, analysis of data collected from social research and communicating statistical results.
Assessment shall be based on quizzes, assignments, problem sets, case study and projects.
STAT 166 Statistics for the Social Sciences
A 3-unit service course offered by the Institute of Statistics, UP Los Baños. It has no prerequisite course and being offered every first and second semesters.
The course focuses on the principles of survey research design and analysis of data in social science research. Its goal is for the students to demonstrate and appreciate the value of statistics in relation to social science research. The topics covered include the different stages of survey work starting from social science research plan, analysis of data, and communicating statistical results.
STAT 250 Multivariate Statistical Methods
This course deals with methods used in analyzing multivariate data and its applications. The goal is for students to gain knowledge of the characteristics and analysis of multivariate data.
This 3-unit course, offered every first and second semester, is taken by graduate students with background on matrix operations. The class meets for three hours per week.
STAT 175 Analysis of Multivariate Data
Topics in this course include analysis of data from multivariate normal populations, profile analysis, multivariate analysis of variance, multivariate regression analysis, correlations, path analysis, discriminant analysis, principal components analysis, factor analysis, and cluster analysis. The goal is for students to have a working knowledge of statistical methods in the analysis of multivariate data. The prerequisite course is STAT 101 Statistical Methods.
This 3-unit course, offered every first semester to BS Statistics students, may also be taken by other students. The class meets five hours a week, two hours in the lecture and three hours in the laboratory.