Statistics for Health Schools and Professionals

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200 pages
Statistics is a requirement in health training Schools and Colleges. Yet most students in such institutions have very limited interest in the subject.
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Professor Nicholas N. N. Nsowah–Nuamah, a full Professor of Statistics at the Institute of Statistical Social and Economic Research (ISSER), University of Ghana, is currently the President of Dominion University College in Ghana.

Until then, he was the President of Regent University


Statistics is a requirement in health training Schools and Colleges. Yet most students in such institutions have very limited interest in the subject. The students, and even those in practice, need to have, at the very least, a good understanding of what statistics is all about and how statistics, as a tool for research, can be applied and interpreted. This text has been written in such a systematic way that the reader does not need an introduction to any topic to be able to understand it.  

Chapters 1 and 2 form the introduction of the book, which respectively, defines statistics   and terms, and concepts. Chapter 3 and 4 are on tabulation and Chapters 5 and 6 on charts and graphs. Chapter 7 is on measures of central tendency, popularly known as averages and Chapter 8 discusses quartiles which is one of the measures of non-central location.   Chapter 9 is on measures of dispersion. The Normal and the Student's $t$ distributions are discussed in Chapters 10 and 11, respectively. The last chapter discusses Pearson's correlation coefficient and the Spearman's rank correlation coefficient.

  • Preface
  • Acknowledgement
  1. Nature of Statistics
    1. Introduction
    2. Definition of Statistics
    3. Branches of Statistics
    4. Why Study Statistics? 
    5. Abuses of Statistics 
  2. Statistical Terms and Concepts 
    1. Introduction 
    2. Population 
    3. Sample 
    4. Parameter and Statistic 
    5. Precision and Accuracy 
    6. Constants 
    7. Variables 
    8. Data 
    9. Parametric and Non-Parametric Statistic 
  3. Statistical Tables 
    1. Introduction 
    2. Definition of a Statistical Table 
    3. Purpose and Properties of Tables 
    4. Parts of a Table 
    5. Guidelines for Tabulation 
    6. Types of Tables 
  4. Frequency Tables 
    1. Introduction 
    2. Frequency Tabulation of Quantitative Data 
    3. Array 
    4. Stem and Leaf Table 
    5. Frequency Distribution 
    6. Frequency Distribution of Quantitative Data 
    7. Frequency Distribution of Qualitative Data 
  5. Statistical Charts 
    1. Pictorial Representation of Data 
    2. Purposes of Pictorial Representation 
    3. Properties of Pictorial Representation 
    4. Pictograms 
    5. Bar Charts 
    6. Pie Charts 
    7. Statistical Maps 
  6. Graphs 
    1. Introduction 
    2. Histograms 
    3. Polygons 
    4. Ogives 
    5. Line Graphs
  7. Measures of Central Tendency
    1. Introduction 
    2. Averages 
    3. Arithmetic Mean
    4. Median 
    5. Mode 
  8. Quartiles 
    1. Introduction 
    2. Definition of Quartiles 
    3. Quartiles for Ungrouped Data 
    4. Quartiles for Grouped Data 
  9. Measures of Dispersion 
    1. Introduction 
    2. Properties of a Good Measure of Dispersion 
    3. Range 
    4. Interquartile Range 
    5. Quartile Deviation 
    6. The Variance 
    7. Sample Variance 
    8. Standard Deviation 
    9. Coefficient of Variation 
  10. Normal Distribution 
    1. Introduction 
    2. General Normal Distribution and Its Properties 
    3. Standard Normal Distribution 
  11. Student’s t Distribution 
    1. Introduction 
    2. Definition of t Distribution 
    3. Properties of t Distribution 
    4. Application of t Distribution 
    5. t Table 
  12. Correlation 
    1. Introduction 
    2. Scatter Diagrams 
    3. Pearson’s Correlation Coefficient 
    4. Spearman’s Rank Correlation Coefficient 
  • Appendices 
  • Bibliography