Project Abstract

Abstract
This research project aims to conduct a statistical analysis on fertility and mortality rates in Osogbo Local Government Area between the years 2006 to 2009. Fertility and mortality rates are essential indicators of the health and well-being of a population, providing valuable insights into the demographic trends and challenges faced by a community. Understanding these rates can help policymakers, healthcare providers, and other stakeholders in making informed decisions related to public health interventions and resource allocation. The study will involve collecting and analyzing data on the number of live births and deaths that occurred in Osogbo Local Government Area during the specified period. The data will be obtained from relevant governmental agencies, such as the National Population Commission and the Ministry of Health, as well as from local health facilities and community records. The analysis will focus on calculating key demographic indicators, such as the crude birth rate, crude death rate, total fertility rate, infant mortality rate, and maternal mortality ratio. By examining trends in fertility and mortality rates over the four-year period, the research aims to identify patterns and variations that may exist within the population of Osogbo Local Government Area. Factors such as access to healthcare services, socioeconomic status, educational attainment, and cultural practices will be considered in the analysis to explore their potential impact on fertility and mortality outcomes. Statistical techniques such as trend analysis, regression analysis, and correlation analysis will be employed to examine the relationships between these variables. The findings of the study are expected to provide valuable insights into the demographic dynamics of Osogbo Local Government Area and contribute to the existing body of knowledge on population health in the region. The results may help policymakers and healthcare providers in developing targeted interventions to improve maternal and child health outcomes, reduce preventable deaths, and promote overall well-being in the community. Additionally, the research could serve as a basis for future studies on related topics and inform decision-making processes aimed at enhancing public health services and programs in Osogbo Local Government Area.

Project 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