Thesis Abstract

Abstract
This research project focuses on conducting a statistical analysis on the fertility and mortality rates in Osogbo Local Government Area between the years 2006 to 2009. The study aims to provide insights into the trends and patterns of fertility and mortality in the region during the specified timeframe. By analyzing data related to births and deaths in Osogbo Local Government Area over the four-year period, this research seeks to identify any significant changes or fluctuations in fertility and mortality rates. The research will utilize statistical methods to analyze the data collected from various sources, including government records, health facilities, and community reports. Descriptive statistics such as mean, median, and mode will be used to summarize the data and provide an overview of the fertility and mortality rates in Osogbo Local Government Area. In addition, inferential statistics such as regression analysis and hypothesis testing will be employed to explore relationships between different variables and identify potential factors influencing fertility and mortality in the region. The findings of this study are expected to contribute to the existing body of knowledge on population dynamics and public health in Osogbo Local Government Area. By examining the fertility and mortality trends over a specific period, this research will offer insights into the demographic changes and health outcomes in the region. The results of the statistical analysis may also help policymakers and health officials in Osogbo Local Government Area to develop targeted interventions and programs to address issues related to fertility and mortality. Overall, this research project aims to shed light on the factors influencing fertility and mortality rates in Osogbo Local Government Area and provide valuable information for public health planning and decision-making. By conducting a comprehensive statistical analysis of the data from 2006 to 2009, this study seeks to generate meaningful findings that can inform future research and policy initiatives aimed at improving population health outcomes in the region.

Thesis Overview

1.1  INTRODUCTION

In statistical analysis and inference statistics is playing an important role nearly in all phases of human life. Formally dealing only with affair of the state and this account for its name statistics. The influence of statistics is now spread to manufacturing companies, agricultural sectors, bank, business communication, economic, education, political science, psychology, sociology and other numerous held of life. It’s therefore, a body of scientific method and theory of collecting, organizing, presenting and analyzing of data as well as drawing valid conclusion and making a reasonable decision. The application is found in all discipline of numerical form. Furthermore, this project is to explain and to analyze more on fertility and mortality rate of people in “Osogbo Local Government”. This project cover four fiscal year from 2006 – 2009 and data is being collected at LAUTECH Teaching Hospital OSOGBO. Also computation would be determined from the total number of fertility and mortality rate and this will be use for information required for the actualization of facts.

1.2 HISTORICAL BACKGROUND

LAUTECH Teaching Hospital is owned by both Osun State Government and Oyo State Government. The hospital is situated at Idi-seke area in Osogbo Local Government. LAUTECH Teaching Hospital is equiped to standard that no other hospital in the state can complete with it. LAUTECH Teaching Hospital has many professional doctors and well trained and very efficient nurses.

1.3 AIMS AND OBJECTIVES OF THE STUDY

i. To know whether the number of life birth (Fertility) of Osogbo Local Government is more than number of death (Mortality).

ii. To be able to study the future occurrence in the rate of fertility and mortality by using least square method.

iii. To measure the trend value of fertility and mortality rate by using moving average method.

1.4  TYPES OF STATISTICS

There are two types of statistics namely: Descriptive statistics and Inference statistics. In descriptive statistics, the research has information on every member of the population and also describes the characteristics of the population such as: Total, average, Means or more (Population Parameters). But in Inferential Statistics, the researcher has information on part of population (sample). Mean, mode and standard deviation are collected for the sample; each of them is called statistics.

1.5  USES OF STATISTICS

Statistics is useful in all field of human endeavour. We can use the knowledge of statistics to find the number of employed people in a country, we can use it to find market trend, to make any possible request in any business ventures. Infact, there is no aspect of our daily life that statistics is not applicable.

1.5.1 TYPES OF STATISTICAL DATA

Data can be defined as pieces of information collected for specific purpose. In any survey, what determines the types of data to be collected is the topic studying upon, which enquiries are to be made.

1.5.2   PRIMARY DATA

Primary data can be define as the data collected or drawn from the original source for specific reason, from which it will be useful. These types of data are always accurate and reliable upon it can be collected through these methods:

Mail questionnaire

Telephone interview

Personal interview

Direct observation

Experiment

1.5.3   SECONDARY DATA

This is the data collected for a purpose different for which is originally meant for. It is a secondhand data collected for a purpose direct from statistical enquiries in which they used. It has the advantage of reducing the time and cost to be used.

1.6  POSSIBLE LIMITATION TO THE USE OF DATA

The data collected is a secondary data and it’s liable to some kind of difficulties which limits the extent to which it can be used dealing with secondary data. Therefore, any suggestion or recommendation made as the outcome of analysis is not only meant for LAUTECH Teaching Hospital