Series 1: Biostatistics
ISBN : 81-88279-49-8
Year: 2007
Pages XXVI + 635
Crown Size Rs.370/-

BIOSTATISTICAL METHODS IN AGRICULTURE, BIOLOGY AND MEDICINE

Contents

UNIT-I :  • Introduction

UNIT-2 :  • Data collection and treatment  • Introduction  • Significant digits and rounding off numbers  • Data collection  • Sampling techniques  • Size of the sample  • Sata organization  • Dispersion: Variance and standard deviation  • Significance of difference in means and proportions  • Coefficient of variation  • Inferential statistics: Confidence interval or confidence limits or fiducial limits  • Skewness, moments and kurtosis  • Illustrative applications  • Review exercises

UNIT-3 :  • Sampling techniques  • Introduction  • Methods of sampling  • Choice of sampling methods  • Sampling and non-sampling error  • Classification and tabulation  • Introduction  • Classification  • Tabulation

UNIT-5 :  • Diagrammatic representation of data  • Introduction  • Representation of data  • Significance of diagrammatic representation  • Limitations of diagrammatic representation  • Illustrative applications  • Review exercises

UNIT-6 :  • Graphic representation of data  • Introduction  • Construction of a graph  • Significance of graphic representation  • Limitations of graphic representation  • Illustrative applications  • Review exercises

UNIT-7 :  • Measures of central tendency  • Introduction  • Arithmetic mean  • Median  • Mode  • Geometric mean  • Harmonic mean  • Illustrative applications  • Review exercises

UNIT-8 :  • Measures of dispersion  • Introduction  • Dispersion  • Methods of measuring dispersion  • Illustrative applications  • Review exercises

UNIT-9 :  • Measures of skewness and kurtosis  • Introduction  • Skewness  • Kurtosis  • Illustrative applications  • Review exercises

UNIT-10 :  • Probability  • Introduction  • Probability  • Theorems of probability  • Probability applications  • Illustrative applications  • Review exercises

UNIT-11 :  • Probability distributions  • Introduction  • Binomial distribution  • Poisson distribution  • Normal distribution  • Illustrative applications  • Review exercises

UNIT-12 :  • Correlation  • Introduction  • Correlation and causation  • Types of correlation  • Methods of studying correlation  • Degree of correlation  • Significance test of correlation coefficient  • Illustrative applications  • Review excercises

UNIT-13 :  • Regression  • Introduction  • Difference between correlation regression  • Kinds of regression analysis  • Significance test for regression coefficient  • Uses of regression analysis  • Illustrative application  • Review exercises

UNIT-14 :  • Chi-square test  • Introduction  • Characteristics of chi-square test  • Assumptions for validity of chi-square test  • Applications of chi-square test  • Illustrative applications  • Review exercises

UNIT-15 :  • Tests of significance  • Introduction  • Comparison of means of two samples  • Illustrative applications  • Review exercises

UNIT-16 :  • Analysis of variance  • Introduction  • Technique of analysing variance  • Procedure for calculation of F-statistic  • Analysis of variance in one way classification (one factor analysis)  • Analysis of variance in one way classification for samples of unequal size  • Analysis of variance in two way classification (two factor analysis)  • The F-analysis by coding method  • Missing data formula technique for analysis of variance  • Testing for significant differences between individual pairs of means  • Illustrative applications  • Review exercises

UNIT-17 :  • Experimental designs  • Introduction  • Basic concepts of experimental design  • Basic principles of experimental design  • Experimental designs  • Completely randomized design (CRD)  • Randomized complete block design (RCD)  • Latin square design (LSD)  • Factorial experiments  • Confounding  • Split plot and strip plot designs

UNIT-18 :  • Statistical quality control  • Introduction  • Types of control  • Control charts  • Types of control charts  • Advantages of statistical quality control  • Illustrative applications  • Review exercises  • Table of control chart constants

Bibliography

Glossary