The course will provide knowledge about the importance and use of statistics in life sciences. It will help the students to understand the methods to analyze data pertaining to their research work and to assess the significance of their experimental designs.
After this course students will be able to apply basic statistical procedures for analysis of data for practical and research.
Introduction and scope:
use of statistics in biology.
Population and sample:
Stages of research,
Types of data:
Methods of data collection. Data arrangement and presentation, formation of tables and charts.
Measures of central tendency:
Computation of mean, median and mode from grouped and ungrouped data.
Measures of dispersion:
Computation of variance, standard deviation, standard error and their coefficients.
Binomial, poisons and normal distributions. Hypothesis testing, Student ‘t’ test, Chi square test,
Handling of multiple samples:
Analysis of variance and LSD.
Correlation and regression:
Experimental designing, planning of an experiment, replication and randomization.