ABSTRACT
Statistical Analysis is the process of examining data to draw conclusions or insights, and determine cause-and-effect patterns between events; for example determining the safety and efficacy of new drugs by drawing out a probability as to whether the fact that a patient got better (or worse) was due to the drug or some. Statistical Analysis and the methods of preparing a good one has been a problem to most organization both private and government, the implementation of a faulty Statistical Analysis has brought man companies to a close door point were all operations are stopped. Therefore Statistical Analysis design needs to be accurate and able to give account for every dime spent and on what this money was spent and also give an accurate account and allocation of money to the various departments of the body in study.
Federal office of statistic Enugu has analysis a lot
of issue like rate of arm robbery in the state, child mortality rate, HIV
infection, Causes of unemployment etc in their office but for this project work
I will concentrate on the child mortality rate and HIV infection. It is important that there should be a
reliable system of Statistical Analysis for every organization and this method
is to be computerized for easy flow of work and generation of accurate reports.
ORGANISATION
OF THE WORK
The research study is divided into chapters the
chapters present the main topic of discussion in the project.
CHAPTER
ONE: This is the introductory part of the project showing why I have undertaken
the project, the statement of the problem, the purpose of the study, aims and
objective delimitations, limitation are stated. Also the terms relevant to the
research write up are defined.
CHAPTER
TWO: The review of related literature here, various works done by previous
researches that relates to the project topic are discussed the historical
Evolution of the Statistical Analysis system to the computer age of
present. Some process taking towards
computerization, process and the hindrances to the application of computers are
discussed.
CHAPTER
THREE: Description and analysis of the existing system, was described here, the
methods used in acts finding is discussed, organization structure is
represented pictorially objectives, analysis, the informational flow diagram
and the problem pictorially, objectives analysis, the informational flow diagram
and the problem of the existing system are explicitly discussed in conjunction
with new system justification.
CHAPTER
FOUR: Design of the system the output specification and input specification and
designs are expressed here. File design, procedure and system flow charts are
represented with a pictorial diagram the required hardware and soft ware for
the new system.
CHAPTER
FIVE: Implementation, the implementation of the new system is very vital and
was implemented on the bases of a designed program pseudo cods source and test
run.
CHAPTER
SIX: Documentation in order to use this package effectively and efficiently
this work is divided into various steps on how to get started. Procedures and quitting exiting from the
software system.
CHAPTER SEVEN: Recommendation and conclusion this chapter concerns the summary of the study, the conclusion drawn from the recommendation to relief the users of source of their problems and suggestions for further studies.
TABLE OF
CONTENT
Title page i
Certification ii
Dedication iii
Abstract v
Organization of work v
Table of content vii
CHAPTER ONE
Introduction 1
1.1 Statement of problem 2
1.2 Purpose of study 3
1.3 Aims and objectives 5
1.4 Delimitations 6
1.5 Limitations 6
1.6 Definition of terms 7
CHAPTER TWO
Literature review 8
CHAPTER THREE
Description and analysis of
the existing system 10
- Analysis of
the existing system. 11
3.2 Fact-finding method used. 12
3.3 Objectives of the existing system 14
3.5 Problems of the existing system 16
3.6 Justification of the new system 17
CHAPTER FOUR
Design of the new system 19
Output specification and
design 19
Input specification and
design file design 21
Procedure chart 25
Systems flowchart 26
System requirements 27
CHAPTER FIVE
Implementation 28
5.1 Program design 29
5.2 Pseudo code 35
CHAPTER SIX
Documentation 38
6.1 The user documentation 38
6.2 The programmer documentation 39
CHAPTER SEVEN
Recommendation
and Conclusion 40
7.1 Recommendation 40
7.2 Conclusion 40
References 42
Source Codes 43
CHAPTER ONE
INTRODUCTION
Developments in the field of statistical data analysis
often parallel or follow advancements in other fields to which statistical
methods are fruitfully applied. Because practitioners of the statistical
analysis often address particular applied decision problems, methods
developments is consequently motivated by the search to a better decision
making under uncertainties.
Decision
making process under uncertainty is largely based on application of statistical
data analysis for probabilistic risk assessment of your decision. Managers need
to understand variation for two key reasons. First, so that they can lead
others to apply statistical thinking in day to day activities and secondly, to
apply the concept for the purpose of continuous improvement. This course will provide
you with hands-on experience to promote the use of statistical thinking and
techniques to apply them to make educated decisions whenever there is variation
in business data. Therefore, it is a course in statistical thinking via a
data-oriented approach.
Statistical models are currently used in various fields of business and science. However, the terminology differs from field to field. For example, the fitting of models to data, called calibration, history matching, and data assimilation, are all synonymous with parameter estimation.
Your organization
database contains a wealth of information, yet the decision technology group
members tap a fraction of it. Employees waste time scouring multiple sources
for a database. The decision-makers are frustrated because they cannot get
business-critical data exactly when they need it. Therefore, too many decisions
are based on guesswork, not facts. Many opportunities are also missed, if they
are even noticed at all.
Knowledge
is what we know well. Information is the communication of knowledge. In every
knowledge exchange, there is a sender and a receiver. The sender make common
what is private, does the informing, the communicating. Information can be
classified as explicit and tacit forms. The explicit information can be
explained in structured form, while tacit information is inconsistent and fuzzy
to explain. Know that data are only crude information and not knowledge by themselves.
Data
is known to be crude information and not knowledge by itself. The sequence from
data to knowledge is: from Data to Information, from Information to Facts, and
finally, from Facts to Knowledge. Data becomes information, when it becomes
relevant to your decision problem. Information becomes fact, when the data can
support it. Facts are what the data reveals. However the decisive instrumental
(i.e., applied) knowledge is expressed together with some statistical degree of
confidence.
Fact
becomes knowledge, when it is used in the successful completion of a decision
process. Once you have a massive amount of facts integrated as knowledge, then
your mind will be superhuman in the same sense that mankind with writing is
superhuman compared to mankind before writing. The following figure illustrates
the statistical thinking process based on data in constructing statistical
models for decision making under uncertainties.
STATEMENT OF THE PROBLEM
It is easy to note that Statistical
Analysis entails large volume of work and a whole lot of calculation. This makes the job very difficult a task to
go by. The method of information storage and retrieval processing of
accumulated figures is not an easy task in places were there are no
sophisticated method of Statistical Analysis analysis.
Inefficient and insufficient records will always result to a poor and inaccurate Statistical Analysis. The fact that humans cant tackle the ambiguous calculations and complex allocation involved in Statistical Analysis easily without the help from computer this is also a delay factor for the releasing of an accurate Statistical Analysis statement. This project will implement Statistical analysis system.
DESIGN AND IMPLEMENTATION OF COMPUTERIZED STATISTICAL ANALYSIS SYSTEM CASE STUDY OF FEDERAL OFFICE OF STATISTIC ENUGU
