Biostatisitcs And Research Methodology Syllabus PDF | B.Pharm 8th Semester | Old Syllabus

Biostatisitcs And Research Methodology syllabus for 8th Semester. This page presents the detailed syllabus content from the original Old Syllabus PDF.

About This Syllabus

Introduction: Statistics, Biostatistics, Frequency distribution

Course Syllabus

Unit-I Introduction: Statistics, Biostatistics, Frequency Distribution

Measures of central tendency: Mean, Median, Mode- Pharmaceutical examples Measures of dispersion: Dispersion, Range, standard deviation, Pharmaceutical problems Correlation: Definition, Karl Pearson’s coefficient of correlation, Multiple correlation -Pharmaceuticals examples

Unit-Ii Regression: Curve Fitting By The Method Of Least Squares, Fitting The Lines Y= A +

bx and x= a + by, Multiple regression, standard error of regression Pharmaceutical Examples Probability:Definition of probability, Binomial distribution, Normal distribution, Poisson’s distribution, properties – problemsSample, Population, large sample, small sample, Null hypothesis, alternative hypothesis, sampling, essence of sampling, types of sampling, Error-I type, Error-II type, Standard error of mean (SEM) – Pharmaceutical examples Parametric test: t-test(Sample, Pooled or Unpaired and Paired) , ANOVA, (One way and Two way), Least Significance difference

Unit-Iii Non Parametric Tests: Wilcoxon Rank Sum Test, Mann-Whitney U Test,

Kruskal-Wallis test, Friedman Test

Introduction to Research: Need for research, Need for design of Experiments,

Experiential Design Technique, plagiarism Graphs: Histogram, Pie Chart, Cubic Graph, response surface plot, Counter Plot graph Designing the methodology: Sample size determination and Power of a study, Report writing and presentation of data, Protocol, Cohorts studies, Observational studies, Experimental studies, Designing clinical trial, various phases.

Unit-Iv Blocking And Confounding System For Two-Level Factorials

Regression modeling: Hypothesis testing in Simple and Multiple regression models

Introduction to Practical components of Industrial and Clinical Trials

Problems

Statistical Analysis Using Excel, SPSS, MINITAB®, DESIGN OF EXPERIMENTS, R – Online Statistical Software’s to Industrial and Clinical trial approach

Unit-V Design And Analysis Of Experiments:

Factorial Design: Definition, 22, 23design. Advantage of factorial design Response Surface methodology: Central composite design, Historical design, Optimization Techniques

The original syllabus PDF is available below for students who want to download and refer to the complete document.