Course

Unit 1

Introduction to Biostatistics-Need for Biostatistical Methods –Their uses and Misuses, Types of Variables, Data collection Methods, Population and Sample.Descriptive Data Analysis Methods- Statistical Tables, Diagrams examples; Graphs, Measures of Central Tendencies and Dispersion, Correlation Analysis Methods, Linear Regression Analysis.

Unit 2

Theory of probability, Standard Probability Distributions – Discrete distributions Binomial and Poisson;, Univariate continuous distribution – Normal, and standard normal.

Unit 3

Tests of Significance of Statistical Hypotheses- Concept of Hypotheses –Null and Alternative hypotheses, Type I and Type II errors, Significance level, Critical region, Power of a test , P- value and its interpretation; Large and Small Sample Test – Normal test, Student’s ‘t’ test, Chi-square tests, Analysis of variance.

Unit 4

Nonparametric methods-Non-parametric methods for estimation, Methods for tests of significance for the independent and correlated samples, Nonparametric Methods for more than two populations.

Pre-requisites: Undergraduate level statistics and biology

Total number of classes: 30

Evaluation Pattern: 50+50 = 100

Text Books

1. Statistical Techniques for data Analysis: J.K. Taylor & Cheryl C, 2004 Chapman & Hall (CRC).
2. Performing Data Analysis Using IBM SPSS: Lawrence S Meyers, 2015, John Wiley..

Reference

Biostatistics: A Foundation for Analysis in the Health Sciences: Daniel, Wayne W 8thEd. 2005.