A Statistical Analysis Of The Relationship Between Age And Systolic Blood Pressure Of Hypertensive Staff Of Michael Okpara University Of Agriculture Umudike

ABSTRACT

In this piece of work, it has been established that no linear relationship exists between age and systolic blood pressure of hypertensive staff of Michael Okpara University of Agriculture Umudike. It was also observed that systolic blood pressure of hypertenstive staff is independent of age. Moreover, it was observed that there was no linear relationship existing between age and systolic blood pressure of hypertensive staff in the two sexes. Furthermore, the analysis of this piece of work shows that there is a moderate quadratic relationship between age and systolic blood pressure of hypertensive staff. It was established that the quadratic model has a good fit to the observed sample data.

TABLE OF CONTENTS

TITLE PAGE

DEDICATION

ACKNOWLEDGEMENT

CHAPTER ONE: INTRODUCTION

1.1 Background of the study

1.2 Motivation

1.3 Specification of problem

1.4 Aims and objectives

1.5 Literature review

1.6 Definition of terms

CHAPTER TWO: MATERIALS AND METIIODS

2.1 Scope of the study

2.2 Data source/limitations

2.3 Problems encountered in collection of data

2.4 Sampling method and sample size

2.5 Method of data analysis

CHAPTER THREE: ANALYSIS OF DATA

3. 1 .1 Regression analysis of overall data (sample linear regression)

3.1.2 Assumptions of regression equations

3.1.3 Scatter diagrams of sample data

3.1 .4 Interpolation of the diagramed

3.1.5 Precisioii of the estimated regression equation

3.L6 Standard error of estimate of regression equation and slope

3. 1.7 Confidence interval for slope b

3.1.8 Lack of fit test and pure error calculation.

3.1.9 Parabolic regression of overall data (parabolic regression of second order)

3.2.0 Scatter diagram of mean blood pressure at each age

3.2.1 Precision of second estimated regression equation

3.2.2 Sigiiificance of correlatioii coefficient

3.2.3 Confidence limit on correlation coefficient

3.2.4 Mean high blood pressure prediction

3.2.5 Regression by sexes

3.2.6 Test of assumptions of e

3.2.7 Test of normality of original sample data.

CHAPTER FOUR

4.1 Summary and conclusion

4.2 Recommendations

REFERENCES

APPENDIX