Biostatistics: Course Outline P-iv

Introduction

• What is biostatistics? application of statistics inbiological and pharmaceutical sciences

Sample and population

• Simple random sampling sampling distribution 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
• Normal distribution

Goodness of fit test

• Chi-square distribution
• It properties and application
• Contingency tables
• Test of homogeneity

Student "t" and "F" Distribution

• Properties of "t" distribution and "F" distribution
• Test of significance based on "t"-distribution
• "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 (RCBdesigns)
• Latin square designs (LS-designs)
• Factorial experimental designs
• Computer methods of statistical evaluation corelation/ regression analysis