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  • Q1
    Is this book suitable for beginners in biostatistics?
    A1

    Yes, it starts with basic concepts and gradually progresses to advanced topics.

  • Q2
    Does this book include practical examples from healthcare?
    A2

    Absolutely, it provides real-world applications in medicine and public health.

  • Q3
    Is this book aligned with university biostatistics courses?
    A3

    Yes, it is widely used in graduate and postgraduate health science programs.

  • Q4
    Does it cover statistical software applications?
    A4

    While it focuses on concepts, it provides a foundation for using software like SPSS or R.

  • Q5
    Can public health professionals benefit from this book?
    A5

    Definitely, it covers vital statistics and epidemiological data analysis.

  • Q6
    Does it discuss non-parametric statistical methods?
    A6

    Yes, Chapter 13 covers techniques for non-normal data distributions.

  • Q7
    Is this book useful for clinical research?
    A7

    Yes, it provides statistical methodologies applicable to clinical trials.

  • Q8
    Can this book be used for self-study?
    A8

    Yes, with its structured approach and exercises, it is great for independent learning.

  • Q9
    Is this the latest edition available?
    A9

    Check the publication date; Wiley periodically releases updated editions.

  • Q10
    Are solutions provided for the exercises?
    A10

    Some editions may include select answers; check with the publisher for instructor resources.

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1. Getting Acquainted With Biostatistics
2. Strategies for Understanding The Meaning of Data
3. Probability : The Basis of Statistical Inference
4. Probabilistic Features of Certain Data Distributions
5. Probabilistic Features of The Distributions of Certain Sample Statistics
6. Using Sample Data to make Estimates About Population Parameters
7. Using Sample Statistics to Test Hypotheses About Population Parameters
8. Statistical Inference and The Analysis of Data Variability
9. Statistical Inference and The Relationship Between Two Variables
10. Statistical Inference and The Relationships Among Three or More Variables
11. Additional techniques for The Analysis of Relationships Among Variables
12. Analysis of Frequency Data : An Introduction to The Chi Square Distribution
13. Special Techniques for Use When Population Parameters and/or Population Distributions are Unknown
14. Evaluating The Health of Human Groups : Vital Statistics

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