Ⅰ. Introduction
The goal of Multivariate statistical analysis(MSA) is dimension reduction of data. Especially, visualization of data is very important. In various methods of MSA, Multidimensional scaling(MDS) is introduced and discussed as a graphical method to complement conventional descriptive and confirmatory methods in validation and analysis of QOL data. The use of MDS is illustrated i
did multivariate analysis by using discriminant analysis.
The aim of this study is to verify whether the government chose poor performance universities in a reasonable way or not. We will do that by doing discriminant analysis and comparing the results against those of the government’s list. In that way, we would like to explore the data and investigate validity of the government’s list.
How we start?
Most of our team members’ major interest is in bodies and beauty…
How we data acquired?
The national anthropometric data measurement project called Size Korea funded by Korea Agency for Technology and Structures, Korea. (http://sizekorea.kats.go.kr), during 2003~2004.
Body size data of 15,000 people who were randomly selected in regard to 119 categories.
Data confiden
I. Introduction
Our interest in bodies and beauties is growing significantly, especially for the people in their twenties, including us. Before we started this team project, we found the raw data in relation to '5th national anthropometric data measurement project' called Size Korea, funded by Korea Agency for Technology and Structures (http://sizekorea.kats.go.kr/), during 2003~2004. In thi
I. Introduction
In 1983, Nongshim-Kellogg launched the first cereal in Korea. A year later, Dongsuh-food corporation also released a cereal for breakfast. Since then, cereal market in Korea grew up every year. The number of product lines of cereal being sold in current Korean market is over 30. So people can now choose a product according to their own preference. Consumers have several purpose