Credit Hours : 2
Students completing this course should understand basic aspectes of statistical designs. They are expected to be able to conduct appropriate statistical methods and interpret the results for applications. Examples of programming will be demonstrated for data analyses during lectures.
1- Cochran, W.G. and Cox, G.M. 1957. Experimental design (2nd edition, reprinted in 1992). Wiley
2- Steel, R.G.D, Torrie, J.H. and Dickey, D.A. 1997. Principles and procedures of statistics: A biometrical approach (3nd edition). McGraw Hill
3- Zar, J., 2009. Biostatistical analysis (5nd edition). Prentice Hall
Principle of statistics
Final Exam/Projects (50%)