Time Series Analysis on the Treatment of Some Common Diseases (A Case Study of Kwara State Polytechnnic Medical Centre, Ilorin)

ABSTRACT

This study out to establish the current trend of most common ill-health among the students of kwara state polytechnic Ilorin as well as the student patronize the medical centre within a define time frame. the least square approach were employed which revealed the present of trend and season effect on the data basically to be able to forecast for the subsequent years

TABLE OF CONTENT

Title page

Certification                                                                    i

Dedication                                                                      ii

Acknowledgement                                                           iii-vi

Abstract                                                                          v

Table of content                                                              vi

CHAPTER ONE

1.0       introduction                                                            1

1.1    Hint on the polytechnic medical centre                     2

1.2    Aims and study objectives                                       3

1.3    Source of data                                                        3

1.4    limitation of the study                                             4

1.5    Definition of some terms                                         4

CHAPTER TWO

2.0    literature review                                                     8

CHAPTER THREE

3.0    methodology/ presentation of data                          11

3.1    Methodology                                                          12

3.2    index estimation                                                     13

3.3    forecast elements                                                   14

CHAPTER FOUR

4.0    Analysis of data                                                      18

4.1    Estimation of the parameters                                   20

4.2    Quarterly Presentation of data                                 21

4.3    Yearly and monthly presentation of data                  22

4.4    Forecast for the two subsequent

         Years using regression model                                  22

CHAPTER FIVE 

5.0    Summary of findings                                               28

5.1    Conclusion                                                             29

5.2    Recommendation                                                    30

Reference                                                                       31