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.
TABLE
OF CONTENTS
Title page i
Certification ii
Dedication iii
Acknowledgement iv
Abstract v
Table of content vi
CHAPTER
ONE
1.1 Introduction 1
1.2 Historical
background 1
1.3 Aims
and objectives 1
– 2
1.4 Types
of statistics 2
1.5 Uses
of statistics 2
1.5.1 Types
of statistical data 2
1.5.2 Primary
data 2
1.5.3 Secondary
data 3
1.6 Possible
limitation to the use of data 3
CHAPTER
TWO
2.0 Literature
review 4
2.1 Definition
of terms 4
2.1.1 Migration
4
2.1.2 Migrant
4
2.1.3 Net
reproduction rate 5
2.1.4 Cohort
or generation life table 5
2.1.5 Current
life table 5
2.1.6 Complete
life table 5
2.1.7 Abridge
life table 5
2.1.8 Life
birth 5
- 6
2.1.9 Life
table 6
2.2 Gross
reproductive rate 6
2.3 Measure
of fertility 6
2.4 Crude
birth rate 6
2.5 Age
specific fertility rate 7
2.6 Total
fertility rate 7
2.7 General
fertility rate 7
Concept
of demography
2.8 Rates
7
2.9 Ratio
7
– 8
2.19 Proportion
8
2.20 Crude
rates 8
2.21 Child
women ratio 8
2.22 Fertility
curve 8
2.23 Measure
of mortality 8
– 9
2.24 Crude
death rate 9
2.25 Age
specific death rate (ASDF) 9
2.26 Infant
mortality rate (IMF) 9
2.27 Neo-natal
mortality rate (NNMR) 9
2.28 Post
neo natal mortality rate (PNMR) 9
– 10
2.29 Peri
natal mortality rate 10
2.30 Mortality
rate 10
2.31 Maternal
mortality rate 10
CHAPTER
THREE
3.0 Research
methodology 11
3.1 Crude
birth rate 11
3.2 General
fertility rate 11
3.3 Total
fertility rate 11
3.4 Age
specific birth rate 12
3.5 Child
women ratio 12
Research tools on mortality
3.6 Crude
death rate 12
3.7 Infant
mortality rate 12
3.8 Age
specific death rate 12
3.9 Moving
average method 13
3.10 Least
square method 13
CHAPTER
FOUR
4.0 Presentation
of data and analysis 14
4.1 Analysis
and presentation of data 14
– 15
4.2 Calculation
of fertility 15
– 17
4.3 Calculation
of mortality 17
4.4 Calculation
of fertility and mortality least square method 18
– 23
4.5 Prediction
on fertility and mortality 23
– 25
4.6 Result
of analysis 25
CHAPTER
FIVE
5.1 Summary
26
5.
2 Conclusion 26
5.3 Recommendation 26
References
27
CHAPTER
ONE
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
- 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 STATISTICS
There are two types of statistics
namely:
i.
Descriptive
statistics
ii.
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:
i.
Mail
questionnaire
ii.
Telephone
interview
iii.
Personal
interview
iv.
Direct
observation
v.
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.
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