Using Census Data to Formulate Recommendations on how Non-Governmental Organizations (Not-for-Profit Organizations) Could Prioritize Areas with Most Need in Kenya
Presentation Type
Poster/Portfolio
Presenter Major(s)
Statistics
Mentor Information
Sango Otieno
Department
Statistics
Location
Henry Hall Atrium 86
Start Date
11-4-2012 9:00 AM
Keywords
Culture, Environment, Health
Abstract
Our goal is to identify which of the eight regions in Kenya need the most help from a non-governmental organization based on the data from the Kenya National Bureau of Statistics and census data from the Library of Congress. The topics of interest include poverty, environment/arable land, food, clean water, and AIDS/disease. We outline a suitable data cleaning approach and apply appropriate inferential statistical techniques to determine the differences between the regions.
Using Census Data to Formulate Recommendations on how Non-Governmental Organizations (Not-for-Profit Organizations) Could Prioritize Areas with Most Need in Kenya
Henry Hall Atrium 86
Our goal is to identify which of the eight regions in Kenya need the most help from a non-governmental organization based on the data from the Kenya National Bureau of Statistics and census data from the Library of Congress. The topics of interest include poverty, environment/arable land, food, clean water, and AIDS/disease. We outline a suitable data cleaning approach and apply appropriate inferential statistical techniques to determine the differences between the regions.