## PY8021 - EXPERIMENTAL DESIGN AND ANALYSIS (Syllabus) 2017-regulation Anna University

PY8021

EXPERIMENTAL DESIGN AND ANALYSIS

LPTC

3003

OBJECTIVES:
• To define, learn, and understand the principles of experimental design;
• To plan and select statistical tools; To execute effectively and analyze results of experimental data

UNIT I

FUNDAMENTALS OF STATISTICS

9

Define Statistics, intuitive biostatistics, relevance to research, preparation of data, analysis of data,frequency tables, graphical techniques, measuring variability, identify measures of centraltendency and variability, probability, tools in statistics, selection of various statistics tools

UNIT II

PRINCIPLES OF EXPERIMENTAL DESIGN

9

Designing an experiment, controlled experiments, natural and quasi-experiments, population definitions, sampling unit, types of variables, treatment structure, design structure, collecting andanalyzing data, types of effects, randomization, replication, blocking, orthogonality, factorialdesign, completely randomized design, randomized complete block design,

UNIT III

CORRELATION AND REGRESSION

9

Correlation and regression: Graphical presentation of two continuous variables; Pearson’s productmoment correlation coefficient; its statistical significance; Multiple and partial correlations; Linearregression; Regression line; Coefficient of determination; Interval estimation and hypothesistesting for population slope; Introduction to multiple linear regression models; Probit and logittransformations.

UNIT IV

PARAMETRIC TESTS

9

Estimation and Hypothesis testing: Point and interval estimation including fiducial limits; Conceptsof hypothesis testing and types of errors; Student-t and Chi square tests; Sample size and power;Experimental design and analysis of variance: Completely randomized,randomized blocks; Latinsquare and factorial designs; Post- hoc procedures.

UNIT V

NON-PARAMETRIC TESTS

9

Non-parametric tests: Sign; Mann-Whitney U; Wilcoxon matched pair; Kruskalwallis and Friedman two-wayanova tests. Spearman rank correlation; Statistical techniques in pharmaceutics: Experimental design in clinical trials; Parallel and crossover designs; Statisticaltest for bioequivalence; Dose response studies; Statistical quality control.

TOTAL : 45 PERIODS

OUTCOMES: After completing this course, students should demonstrate competency in the following topics:
• Basic probability axioms and rules and the moments of discrete and continuous random variables.
• They will be able to utilize Joint distributions, correlation, regression and various parametric and non parametric tests in their research analyses.

TEXT BOOKS:
1. Gupta S.P, Statistical Methods, Sultan Chand & Sons, New Delhi, 2005.
2. P.S.S. Sundar Rao, P.H.Richard, J.Richard, An introduction to Biostatistics, Prentice Hall of India(P) Ltd., New Delhi, 2003.

REFERENCES:
1. Jerrold H. Zar, Bio Statistical Analysis, Tan Prints(I) Pvt. Ltd., New Delhi, 2003.
2. Goulden, Methods of Statistical Analysis, Asia Publishing Co., New Delhi, 1962.
3. Intuitive Biostatistics by Harvey Motulsky. Copyright © 1995 by Oxford University PressInc.