PART 2 STATISTICS

Introduction

The Mathematics with Economics Programme, offered under the Faculty of Science and Technology (formerly known as the Faculty of Science and Natural Resources), provides students with comprehensive training that integrates mathematical, statistical, and economic knowledge. This chapter focuses on the second core area of the programme: Statistics. It features a collection of undergraduate research projects that illustrate the practical and theoretical applications of statistical methods in understanding real-world phenomena.

Statistics, as the science of data, involves collecting, organizing, analyzing, and interpreting information to test hypotheses and support decision-making across various domains. The studies compiled here demonstrate the versatility of statistical techniques in exploring issues related to education, human development, environment, and finance. By employing tools such as regression analysis, factor analysis, clustering, probability distributions, and time-series modeling, these projects uncover meaningful insights into human behaviour, natural patterns, and economic trends. Collectively, they highlight how statistical reasoning supports evidence-based inquiry while fostering critical thinking, problem-solving, and innovation among students. For further reference, hard copies of the respective abstracts are available at the Library of the Faculty of Science and Technology.

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