APPLICATION OF QUEUING THEORY TO PATIENT’S SATISFACTION

TABLE OF CONTENTS

Title Page

Certification

Dedication

Acknowledgement

Table of Contents

Abstract

CHAPTER ONE: GENERAL INTRODUCTION

1. Preliminary
   1. Statement of Problem
   1. Objective of The Study
   1. Theoretical Background
   1. Statement of Hypothesis
   1. Assumptions of The Study
   1. Significance of The Study
   1. Scope of the Study
   1. Definition of Terms

CHAPTER TWO: REVIEW OF RELATED LITERATURE

2.1    Introduction

2.2    Literature Review

CHAPTER THREE: RESEARCH DESIGN AND METHODOLOGY

3.1    Introduction

3.2    Design of the Study

3.3    Population of The Study

3.4    Sampling Procedure

3.5    The Sample

3.6    Data Collection

3.7    Data Analysis Techniques and Presentation

3.7.1 Notations for Queuing Theory

3.7.2 Model Specification: Multi-Channel Queuing System

3.7.3 Basic Steady State Performance Measure for M/M/2

3.7.4 Frequency Distribution Table

3.7.5 Chi-Square Distribution

3.8    Data Preparation

CHAPTER FOUR: DATA ANALYSIS, RESULTS AND INTERPRETATION

4.1    Introduction

4.2    Data Presentation

4.3    Data Analysis

4.4    Interpretation of Results

CHAPTER FIVE: SUMMARY AND CONCLUSION

5.1    Introduction

5.2    Discussion

5.3    Summary

5.4    Conclusion

5.5    Recommendation

Abstract

In today’s stressful life, taking care of your health has become very important and this has resulted in long queues in most private and public hospitals. The need for application of queuing theory in healthcare setting is very important as far as human life is concerned. This study took a look at the Application of Queuing theory to Patients Satisfaction at General Hospital Ikot Ekpene. The mean arrival and service rates followed a poisson and exponential distributions respectively. The results derived from the analysis using  goodness of fit to test whether the arrival and service rates follows a Poisson and exponential processes respectively showed that at 5% levels of significance, the null hypothesis were rejected since  and  are greater than  both at 5 degrees of freedom. It was therefore concluded that the arrival and service rates at General Hospital Ikot Ekpene followed a Poisson and an exponential distribution which agreed with the assumptions earlier stated.

CHAPTER ONE

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