Experimental Design and Analysis Pharma 7th Sem Syllabus for B.Tech 2017 Regulation Anna Univ (Professional Elective VI) detail syllabus for Pharmacy (Pharma), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (PY8021), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other pharma 7th sem syllabus for b.tech 2017 regulation anna univ you can visit Pharma 7th Sem syllabus for B.Tech 2017 regulation Anna Univ Subjects. For all other Professional Elective VI subjects do refer to Professional Elective VI. The detail syllabus for experimental design and analysis is as follows.
Course Objective:
- 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
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Unit II
Principles of Experimental Design
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
Correlation and regression: Graphical presentation of two continuous variables; Pearsons 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
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Unit V
Non-Parametric Tests
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.
Course Outcome:
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:
- Gupta S.P, Statistical Methods, Sultan Chand and Sons, New Delhi, 2005.
- P.S.S. Sundar Rao, P.H.Richard, J.Richard, An introduction to Biostatistics, Prentice Hall of India(P) Ltd., New Delhi, 2003.
References:
- Jerrold H. Zar, Bio Statistical Analysis, Tan Prints(I) Pvt. Ltd., New Delhi, 2003.
- Goulden, Methods of Statistical Analysis, Asia Publishing Co., New Delhi, 1962.
- Intuitive Biostatistics by Harvey Motulsky. Copyright 1995 by Oxford University PressInc.
For detail syllabus of all other subjects of B.Tech Pharma, 2017 regulation do visit Pharma 7th Sem syllabus for 2017 Regulation.
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