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.

Course Contents:


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.

Probability rules:

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.