Course Contents

Introduction and scope, use of statistics in biology. Population and sample. Stages of research, types of data and methods of data collection. Data arrangement and presentation, formation of tables and charts. Measures of central tendency computation of mean, media and mode from grouped and ungrouped data. Measures of dispersion, computation of variance, standard deviation, standard error and their coefficients. Probability rules. Binomial, poison and normal distributions. Hypothesis testing, Student ‘t’ test, Chi square test, Analysis of variance and LSD. Correlation and regression. Experimental designing, planning of an experiment, replication and randomization. Learning how to use Sigmastat on different types of data. BOOKS RECOMMENDED 1. Basic Biostatistics:Statistics for public Health Practice. Gerstman,B.B. 2008. Jones and Bartlett Publishers, Inc. USA. 2. Biostatistics: The Bare Essentials. Geoffery, R. Norman, David L. Streiner 2000. B.C. Decke Inc. 3. Experimental design and data analysis for biologists. Gerry, P. Quinn, Michael J. Keough, 2002. Cambridge University Press. 4. Statistics for Biologists. Richard Colin Campbell, 1989. Cambridge University Press.

Course Learning Outcomes

Without statistical analysis research articles are not accepted for publication by the scientific journals. So students must have sound knowledge of the statistical programs