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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, making it ideal for beginners.

  • Q2
    Does this book cover hypothesis testing methods like t-test and ANOVA?
    A2

    Yes, it includes detailed chapters on t-test, z-test, chi-square test, F-test, and ANOVA.

  • Q3
    Can medical students use this book for research purposes?
    A3

    Absolutely, it is useful for medical, pharmaceutical, and public health research.

  • Q4
    Are there solved examples and practice problems?
    A4

    Yes, the book includes worked-out examples and statistical applications for better understanding

  • Q5
    Does it include non-parametric statistical tests?
    A5

    Yes, Chapter 16 covers non-parametric tests for data that don’t follow normal distribution.

  • Q6
    Is this book useful for competitive exams like CSIR-NET and GATE?
    A6

    Yes, it covers essential biostatistics topics required for CSIR-NET, GATE, ICMR, and other exams.

  • Q7
    Are logarithmic and statistical tables provided?
    A7

    Yes, the book includes logarithm tables and critical value tables for quick reference.

  • Q8
    Does it discuss regression and correlation analysis?
    A8

    Yes, Chapters 13 and 14 cover correlation and regression in biological data.

  • Q9
    Is this book applicable for agricultural studies?
    A9

    Yes, it is useful for agricultural research, genetics, and ecology studies.

  • Q10
    Does it cover measures of central tendency and variation?
    A10

    Yes, Chapters 4 and 5 discuss mean, median, mode, variance, and standard deviation.

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1. Preliminary Concept
2. Frequency Distribution
3. Graphical Representation of Data
4. Central Tendency
5. Measures of Variation
6. Theoretical Distribution
7. Skewness, Kurtosis and Moments
8. Set Theory and Probability
9. Chi - Square Test
10. Student T Distribution
11. Z - test
12. F - Test or Fisher’s F Test
13. Correlation
14. Regression
15. Analysis of Variances (ANOVA)
16. Non - parametric Statistics
17. Statistical Tables
18. Notation and Important Formulae
19. Logarithms Tables

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