ANALYSIS ON EDUCATION TRUST FUND ALLOCATION TO TERITIARY INSTITUTION IN SIX GEO- POLITICAL ZONES OF NIGERIA (1999-2007).
Table Of Contents
<p>Title page — – – – – – – – – – – i <br><br>Declaration — – – – – – – – – – -ii<br><br>Approval page — – – – – – – – – – -iii<br><br>Dedication — – – – – – – – – – -iv<br><br>Acknowledgement — – – – – – – – – -v <br><br>Table of content — – – – – – – – – -vi Abstract — – – – – – – – – – – -vii<br></p>
Thesis Abstract
<p> </p><p>In this project entitled statistical analysis on education trust fund allocation to tertiary institutions in six geo-political zones of Nigeria, the average allocation to zones, method of distributions, extraction of principal components, classification of the components into factors and to test if there is any significant difference in the allocation among the zones was carried out using principal components analysis, factor analysis, normality test just to mention but a few. The average allocation to all the zones within the period under review was #14,605,429,76. The allocation to zones was normally distributed indicating unbiasedness in the allocations. University allocation is the principal factor component in the ETF allocation among the institutions revealing high contribution of university with 0.201 in the first component, followed by monotechnics, polytechnics and colleges of education. With little difference in the allocations among polytechnics, monotechnics and colleges of education, they were grouped into one factor and university in another factor. Based on the results obtained; no zone is more favored and their distribution is unbiased</p><br> <br><p></p>Thesis Overview
Blazingprojects Mobile App
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Project Journal Publishing
🎓 Undergraduate/Postgraduate
📥 Instant Whatsapp/Email Delivery
Related Research
Applications of Machine Learning in Predicting Stock Market Trends...
The project "Applications of Machine Learning in Predicting Stock Market Trends" aims to explore the use of machine learning techniques in predicting ...
Applications of Machine Learning in Predicting Stock Prices...
The project titled "Applications of Machine Learning in Predicting Stock Prices" aims to explore the practical applications of machine learning algori...
Application of Machine Learning Algorithms in Predicting Stock Prices...
The project titled "Application of Machine Learning Algorithms in Predicting Stock Prices" aims to explore the use of machine learning algorithms in p...
Applications of Machine Learning in Predicting Stock Market Trends...
The project titled "Applications of Machine Learning in Predicting Stock Market Trends" aims to explore the use of machine learning techniques in pred...
Applications of Machine Learning in Predicting Stock Prices...
The project titled "Applications of Machine Learning in Predicting Stock Prices" aims to explore the utilization of machine learning techniques to pre...
Application of Machine Learning Algorithms in Predicting Stock Market Trends...
The project "Application of Machine Learning Algorithms in Predicting Stock Market Trends" aims to explore the use of advanced machine learning algori...
Applications of Machine Learning in Predicting Stock Market Trends...
The project titled "Applications of Machine Learning in Predicting Stock Market Trends" aims to explore the potential of machine learning techniques i...
Application of Machine Learning in Predicting Stock Market Trends...
The project titled "Application of Machine Learning in Predicting Stock Market Trends" aims to explore the potential of utilizing machine learning alg...
Applications of Machine Learning in Predicting Stock Market Trends...
The project titled "Applications of Machine Learning in Predicting Stock Market Trends" aims to explore and analyze the effectiveness of machine learn...
