Home / Statistics / STATISTICAL ANALYSIS ON FERTILITY AND MORTALITY RATE

STATISTICAL ANALYSIS ON FERTILITY AND MORTALITY RATE

 

Table Of Contents


Cover page

Title page

Certification

Dedication

Acknowledgement

Abstract

Organization of the work

Table of Content


Thesis Abstract

This project has the aim of studying the fertility and mortality rate in Osogbo Local Government.  The study employed the use of statistical methods like moving Average, least square and Demography analysis.  The result of the analysis shows that there is relationship between fertility and mortality. It is also the predictive power of an increase. Therefore, it is recommended that government should provide more medical facilities for easy delivery.          

Thesis Overview

1.1       INTRODUCTIONIn 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 BACKGROUNDLAUTECH 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-           To know whether the number of life birth (Fertility) of Osogbo Local Government is more than number of death (Mortality). -           To be able to study the future occurrence in the rate of fertility and mortality by using least square method.-           To measure the trend value of fertility and mortality rate by using moving average method.1.4       TYPES OF STATISTICSThere are two types of statistics namely: i.              Descriptive statisticsii.            Inference statisticsIn 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 STATISTICSStatistics 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 DATAData 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 DATAPrimary 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:i.              Mail questionnaireii.            Telephone interviewiii.           Personal interviewiv.           Direct observationv.            Experiment  1.5.3   SECONDARY DATAThis 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 DATAThe 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.

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

Blazingprojects App

Related Research

Statistics. 3 min read

Predictive Modeling of Stock Prices using Machine Learning Techniques...

The project titled "Predictive Modeling of Stock Prices using Machine Learning Techniques" aims to explore the application of machine learning algorit...

BP
Blazingprojects
Read more →
Statistics. 4 min read

Analyzing the effectiveness of machine learning algorithms in predicting stock price...

The project titled "Analyzing the effectiveness of machine learning algorithms in predicting stock prices" aims to investigate and evaluate the applic...

BP
Blazingprojects
Read more →
Statistics. 3 min read

Predictive Modeling of Customer Churn in Telecommunication Industry Using Machine Le...

The project, "Predictive Modeling of Customer Churn in Telecommunication Industry Using Machine Learning Algorithms," aims to address the critical iss...

BP
Blazingprojects
Read more →
Statistics. 3 min read

Analysis of Factors Influencing Customer Satisfaction in Online Retailing: A Statist...

The research project titled "Analysis of Factors Influencing Customer Satisfaction in Online Retailing: A Statistical Approach" aims to investigate an...

BP
Blazingprojects
Read more →
Statistics. 2 min read

Analysis of Factors Influencing Customer Satisfaction in Online Retail Businesses...

The project titled "Analysis of Factors Influencing Customer Satisfaction in Online Retail Businesses" aims to investigate and understand the various ...

BP
Blazingprojects
Read more →
Statistics. 2 min read

Analysis of Factors Influencing Student Performance in Online Learning Environments:...

The research project titled "Analysis of Factors Influencing Student Performance in Online Learning Environments: A Case Study" aims to investigate th...

BP
Blazingprojects
Read more →
Statistics. 3 min read

Predictive Modeling of Customer Churn in Telecommunication Industry Using Machine Le...

The project titled "Predictive Modeling of Customer Churn in Telecommunication Industry Using Machine Learning Techniques" aims to address the critica...

BP
Blazingprojects
Read more →
Statistics. 3 min read

Predictive modeling of COVID-19 transmission using machine learning algorithms...

The project titled "Predictive modeling of COVID-19 transmission using machine learning algorithms" aims to leverage the power of machine learning tec...

BP
Blazingprojects
Read more →
Statistics. 3 min read

Analysis of Factors Affecting Customer Satisfaction in E-commerce Platforms: A Stati...

The project titled "Analysis of Factors Affecting Customer Satisfaction in E-commerce Platforms: A Statistical Approach" aims to investigate the key f...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us