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
Introduction to statistical theory (Part I) a text book for degree and post-graduate students by 
Practical Statistics for Experimental Biologists by 
