A multivariate analysis of the standard of living of each province in the Philippines
Date of Publication
1991
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Applied Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Abstract/Summary
Provinces in the Philippines were classified using a multivariate statistical technique, the cluster analysis. The resulting classification became useful in determining the standard of living of the provinces based on some socio-economic variables. These included the CPI of Food, CPI of Clothing, CPI of Housing, CPI of Fuel, CPI of Services, CPI of Miscellaneous, estimated population and the average income. Results showed that cluster I can be classified as provinces with high income, cluster 2 as provinces which are highly populated and cluster 3 as provinces which have low priced products.
Abstract Format
html
Language
English
Format
Accession Number
TU06285
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
[93] leaves
Keywords
Multivariate analysis; Cost and standard of living--Philippines; Consumption (Economics)--Philippines; Mathematical statistics; Standard of living
Recommended Citation
Ancheta, A. J., & Ramilo, M. L. (1991). A multivariate analysis of the standard of living of each province in the Philippines. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/16115
