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## Book Description

Biostatistics is exclusively designed for the undergraduate students of Botany, Biotechnology and Zoology for gaining fundamental knowledge on biostatistics and its applications. Adequate coverage has been provided to the concepts of biostatistics making this book useful in biological data management.

1. Cover
2. Title Page
3. Contents
5. Dedication
6. Foreword
7. Preface
8. Chapter 1: Introduction to Statistics and Its Biological Applications
1. 1.1 Introduction
2. 1.2 Is Statistics a Science?
3. 1.3 Application of Statistics in Biology
4. 1.4 Responsibility of the Decision Maker
5. 1.5 Functions and Limitations of Statistics
6. 1.6 Distrust of Statistics
7. 1.7 Nature of Statistical Law
8. Exercises
9. Chapter 2: Data Structures, Data Sources and Data Collection
1. 2.1 Introduction
2. 2.2 Data Structures
3. 2.3 Data Sources
4. 2.4 Data Collection
5. Exercises
10. Chapter 3: Data Presentation
1. 3.1 Introduction
2. 3.2 Classification of Data
3. 3.3 Data Presentation
4. 3.4 Types of Variables and Data
5. 3.5 Levels of Measurement
6. 3.6 Frequency
7. 3.7 Types of Class Interval
8. 3.8 Tally Mark
9. 3.9 Construction of a Discrete Frequency Distribution
10. 3.10 Construction of a Continuous Frequency Distribution
11. 3.11 Cumulative and Relative Frequencies
12. 3.12 Diagrammatic Representation of Data
13. Exercises
11. Chapter 4: Measures of Central Tendency
1. 4.1 Introduction
2. 4.2 Measures of Central Tendency
3. 4.3 Arithmetic Mean
4. 4.4 Mathematical Properties of Arithmetic Mean
5. 4.5 Median
6. 4.6 Quartiles, Deciles and Percentiles
7. 4.7 Mode
8. 4.8 Comparison of Mean, Median and Mode
9. 4.9 Weighted Arithmetic Mean
10. 4.10 Geometric Mean
11. 4.11 Harmonic Mean
12. Exercises
12. Chapter 5: Dispersion
1. 5.1 Introduction
2. 5.2 Range
3. 5.3 Quartile Deviation
4. 5.4 Coefficient of Quartile Dispersion
5. 5.5 Mean Deviation
6. 5.6 Standard Deviation
7. 5.7 Relative Measures of Dispersion
8. Exercises
13. Chapter 6: Skewness, Moments and Kurtosis
14. Chapter 7: Correlation and Regression Analysis
1. 7.1 Introduction
2. 7.2 Correlation
3. 7.3 Karl Pearson’s Coefficient of Correlation
4. 7.4 Coefficient of Correlation for a Grouped Data
5. 7.5 Probable Error of the Coefficient of Correlation
6. 7.6 Rank Correlation
7. 7.7 Regression Equations
8. Exercises
15. Chapter 8: Probability
1. 8.1 Introduction
2. 8.2 Definition for Certain Key Terms
3. 8.3 Meaning of Probability
4. 8.4 Baye’s Theorem
5. Exercises
16. Chapter 9: Random Variables and Expectation
1. 9.1 Introduction
2. 9.2 Random Variable
3. 9.3 Probability Distribution
4. 9.4 Mathematical Expectation
5. 9.5 Mean of a Random Variable
6. 9.6 Standard Results
7. 9.7 Variance of a Random Variable
8. Exercises
17. Chapter 10: Discrete Probability Distribution [Binomial and Poisson Distributions]
1. 10.1 Introduction
2. 10.2 Binomial Distribution
3. 10.3 Poisson Distribution
4. Exercises
18. Chapter 11: Continuous Probability Distribution
19. Chapter 12: Theory of Sampling
1. 12.1 Introduction
2. 12.2 Why Sample?
3. 12.3 How to Choose It?
4. 12.4 Sample Design
5. 12.5 Key Words and Notations
7. 12.7 Non Random Errors/Non Sampling Errors
8. 12.8 Random Errors/Sampling Errors
9. 12.9 Types of Sample
10. 12.10 Random Sampling
11. 12.11 Non-Random Sampling Methods
12. 12.12 Sampling Distributions
13. 12.13 Need for Sampling Distribution
14. 12.14 Standard Error for Different Situations
15. 12.15 Point and Internal Estimation
16. 12.16 Interval Estimate
17. 12.17 Confidence Interval Estimation for Large Samples
18. 12.18 Confidence Intervals for Difference Between Means
19. 12.19 Estimating a Population Proportion
20. 12.20 Estimating the Interval Based on Difference Between Two Proportions
21. 12.21 Confidence Interval Estimation for Small Sample
22. 12.22 Determining the Sample Size
23. Exercises
20. Chapter 13: Hypothesis Testing/Parametric Tests/Distribution Tests/Tests of Significance
1. 13.1 Introduction
2. 13.2 Null Hypothesis [H0]
3. 13.3 Alternative Hypothesis [H1]
4. 13.4 Type I and Type II Errors
5. 13.5 Meaning of Parametric and Non-Parametric Test
6. 13.6 Selection of Appropriate Test – Statistic
7. 13.7 Methodology of Statistical Testing
8. 13.8 Test for a Specified Mean – Large Sample
9. 13.9 Test for Equality of Two Populations – Large Sample
10. 13.10 Test for Population Proportion – Large Sample
11. 13.11 Test for Equality of Two Proportions – Large Samples
12. 13.12 Test for Equality of Two Standard Deviations – Large Samples
13. 13.13 Student’s t-Distribution
14. 13.14 Properties of t-Distribution
15. 13.15 Test for Specified Mean [Small Sample]
16. 13.16 Test for Equality of Two Population Means – Small Samples [σ1 and σ2 are not known]
17. 13.17 Paired t-Test for Difference of Mean
18. 13.18 Chi-square Distribution
19. 13.19 Snedecor’s F-Distribution
20. 13.20 Analysis of Variance [ANOVA]
21. Exercises