1. Intoduction to the course:
The course is to built upon the statistical concepts , principles and techniques that are useful in agricultural research.
2. Learning objective:
1. To impart the knowlegde of statistical software used to analyzed the data
2. To improve the students' skills for selecting the appropriate tools for the analysis of their research data.
3. Text books
Steel, R.G.D., J.H. Torrie and D.A. Dicky. Principles and procedure of statistics: A Biometrical Approach. third edition
Box, G.E.P., W.G. and Hunter, J.S Statistics for experimenters. New York: Wiley(1978).
Agresti. A. An Introduction to Categorical Data Analysis. New York: Wiley (2002).
4.system of evaluation:
class pariticipation/quiz 20%
Mid term project 30%
Final term exam 50%
5. Day and time of the class
Tuesday (10:30-12:10)
Thursday (9:40-10:30)
Course Material
- Total Lessons 18
- Department College of Agriculture
- About Visit Profile
-
Teacher
Faiza Sami
