Biostats,: Course Outline (103)

Introduction

• What is biostatistics? application of statistics inbiological and pharmaceutical sciences
• Sample and population
• Simple random sampling
• Samplingdistribution and standard error
• Stratified random sampling
• Systemic and cluster sampling

Test of hypothesis and significance

• Statistical hypothesis
• Level of significance
• Test of significance
• Confidence
• Intervals
• Test involving binomial and normal distribution

Goodness of fit test

• Chi-square distribution
• It properties and application
• Contingency tables test of homogeneity
• Student "t" and "F" dsistribution
• Properties of "t" distribution and "F" distribution
• Test of significance based on "t"-distribution and "F"-distribution

Analysis of variance

• One-way classification
• Partitioning of sum of squares and degree of freedom
• Two-way classification
• Multiple compression tests such as LSD
• P-values the analysis of variance models

Experimental designs (advantages & disadvantages)

• Basic principles of experimental designs
• The completely randomized designs (CR-designs)
• Randomized complete block designs (RCB designs)
• Latin square designs (LS-designs)
• Factorial experimental