Biostatistical Methods Agriculture, Biology and Medicine

Contents: Preface. 1. Introduction. 2. Data collection and treatment: i. Introduction. ii. Significant digits and rounding off numbers. iii. Data collection. iv. Sampling techniques. v. Size of the sample. vi. Data organization. vii. Dispersion: variance and standard deviation. viii. Significance of difference in means and proportions. ix. Coefficient of variation. x. Inferential statistics: confidence interval or confidence limits or fiducial limits. xi. Skewness, moments and kurtosis. xii. Illustrative applications. xiii. Review exercises. 3. Sampling techniques: i. Introduction. ii. Methods of sampling. iii. Choice of sampling methods. iv. Sampling and non sampling error. 4. Classification and tabulation: i. Introduction. ii. Classification. iii. Tabulation. 5. Diagrammatic representation of data: i. Introduction. ii. Representation of data. iii. Significance of diagrammatic representation. iv. Limitations of diagrammatic representation. v. Illustrative application. vi. Review exercises. 6. Graphic representation of data: i. Introduction. ii. Construction of a graph. iii. Significance of graphic representation. iv. Limitations of graphic representation. v. Illustrative applications. vi. Review exercises. 7. Measures of central tendency: i. Introduction. ii. Arithmetic mean. iii. Median. iv. Mode. v. Geometric mean. vi. Harmonic mean. vii. Illustrative applications. viii. Review exercises. 8. Measures of dispersion: i. Introduction. ii. Dispersion. iii. Methods of measuring dispersion. iv. Illustrative applications. v. Review exercises. 9. Measures of skewness and kurtosis: i. Introduction. ii. Skewness. iii. Kurtosis. iv. Illustrative applications. v. Review exercises. 10. Probability: i. Introduction. ii. Probability. iii. Theorems of probability. vi. Probability applications. v. Illustrative applications. vi. Review exercises. 11. Probability distributions: i. Introduction. ii. Binomial distribution. iii. Poisson distribution. vi. Normal distribution. v. Illustrative applications. vi. Review exercises. 12. Correlation: i. Introduction. ii. Correlation and causation. iii. Types of correlation. iv. Methods of studying correlation. v. Degree of correlation. vi. Significance test of correlation coefficient. vii. Illustrative applications. viii. Review exercises. 13. Regression: i. Introduction. ii. Difference between correlation regression. iii. Kinds of regression analysis. iv. Significance test for regression coefficient. v. Uses of regression analysis. vi. Illustrative application. vii. Review exercises. 14. Chi-square test: i. Introduction. ii. Characteristics of chi-square test. iii. Assumptions for validity of chi-square test. iv. Applications of chi-square test. v. Illustrative applications. vi. Review exercises. 15. Tests of significance: i. Introduction. ii. Comparison of means of two samples. iii. Illustrative applications. iv. Review exercises. 16. Analysis of variance: i. Introduction. ii. Technique of analysing variance. iii. Procedure for calculation of f-statistic. iv. Analysis of variance in one way classification (one factor analysis).  v. Analysis of variance in one way classification for samples of unequal size. vi. Analysis of variance in two way classification (two factor analysis). vii. The f-Analysis by coding method. viii. Missing data formula technique for analysis of variance. ix. Testing for significant differences between individual pairs of means. x. Illustrative applications. xi. Review exercises. 17. Experimental Designs: i. introduction. ii. Basic concepts experimental design. iii. Basic principles of experimental design. vi. Experimental designs. 18. Statistical quality control: i. Introduction. ii. types of control. iii. Control charts. iv. Types of control charts. v. Advantages of statistical quality control. vi. Illustrative applications. vii. Review exercises. viii. Table of control chart constants. Bibliography. Glossary.

"The science of biostatistics has assumed enormous importance in different disciplines of agricultural, biological and medical sciences. No doubt biostatical methods today had become indispensable tools in all the phases of human endeavour. This book is a modest attempt to provide a simple non-mathematical text for those who desire to equip themselves with a knowledge of the statistical methods used in modern times. The authors have attempted to give as many illustrations as possible to make the concepts and principles clear to the reader. A large number of review exercises have also been given at the end of each chapter, selected from various university examination papers to enable the reader to review his grasp on the subject. We believe that this book will cater to the immediate needs of all students, researchers and the faculty members of the subject and also serve as a good textbook for the students of agriculture, biology, pharmacy and medicine."