Date

1-4-2016 12:00 AM

Major

Statistics

Department

Statistics

College

College of Liberal Arts and Sciences

Project Advisor

Mervyn Marasinghe

Project Advisor's Department

Statistics

Description

This project focuses on the relationship between economic status and environment conditions for countries in the 20th century. The data used is extracted from the world development indicator information, published in the World Bank website. There are two parts of analysis in this project. The first part focuses on economic status and threatened species in two research questions: Is there any association between threatened species levels and GDP levels? Does the country with better economic status have better environment condition? The methods used for these two questions are mosaic plots, chi-square independent test, Goodman-Kruskal gamma, and cluster analysis, to find associations. For the second part, this project studies the threatened species along with both natural environmental indicators and economic developmental indicators in one research question. The method is multiple regression analysis. There are two significant results in this project: First, there is statistical evidence supporting that the countries with high economic status tend to have better environment condition (fewer threatened species) than countries with low economic status; Second, it terns out that the natural environment did not affect the number of threatened species very much, no matter whether the economic developmental indicators are present or not.

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Apr 1st, 12:00 AM

A Study of the Relationship between Economic Development and Environmental Condition of Countries in the 21st Century

This project focuses on the relationship between economic status and environment conditions for countries in the 20th century. The data used is extracted from the world development indicator information, published in the World Bank website. There are two parts of analysis in this project. The first part focuses on economic status and threatened species in two research questions: Is there any association between threatened species levels and GDP levels? Does the country with better economic status have better environment condition? The methods used for these two questions are mosaic plots, chi-square independent test, Goodman-Kruskal gamma, and cluster analysis, to find associations. For the second part, this project studies the threatened species along with both natural environmental indicators and economic developmental indicators in one research question. The method is multiple regression analysis. There are two significant results in this project: First, there is statistical evidence supporting that the countries with high economic status tend to have better environment condition (fewer threatened species) than countries with low economic status; Second, it terns out that the natural environment did not affect the number of threatened species very much, no matter whether the economic developmental indicators are present or not.