Experimental Design and Analysis

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Course Code: 
495501
Course Outline: 
Faculty of Graduate Studies
Master program in animal production
Experimental Design and Analysis (495501)
Instructor: Dr. Jihad ABDALLAH  Lecture days and time: Sunday 2-5     
Objective: This is an advanced course of statistics intended for graduate students. It gives the student the statistical knowledge necessary to plan biological experiments and analyze research data. At the end of the course, the student should be familiar with linear regression, analysis of variance for popular experimental designs and be able to carry out statistical analyses on his/her own research data.
Textbook:
Principles and procedures of statistics: a biometrical approach. Robert Steel, James Torrie, and David Dickey. Third Edition, 1997.
Lecture Topics
Week 1:
Review of basic statistical concepts:
- Definitions and notations
- Mean and variance
- Normal distribution
- Student distribution
Week 2:
Tests of hypothesis
- Testing the difference between two treatment means
- Paired t-test
- The concept of P value
- Type I and Type II errors
Week 3:
Linear regression and correlation
Linear regression in matrix notation
Week 4:
Principles of experimental design:
- Experimental unit and treatment
- Experimental error
- Replication
- Error control
- Randomization
- Relative efficiency of experimental designs
      (End of material for first exam)
Weeks 5+6:
Analysis of Variance I: One-way classification (CRD design)
- equal replication
- non-equal replication
- the linear model
- ANOVA with subsamples
     (FIRST EXAM)
Weeks 7+8:
Multiple comparisons and contrasts:
- The least significant difference
- Contrasts
- Testing effects suggested by the data
- Scheffé’s test
- Tukey’s procedure
- S.N.K test
- Duncan’s new multiple range test
- Comparing all means with a control
Weeks 9:
Analysis of variance II: Multiway classification
-  RCBD design 
  (End of material for second exam)    
Week 10:
Analysis of variance II: Multiway classification.
- Latin square
Week 11:  Holiday (Independence Day)
Weeks 12+13
(SECOND EXAM)
 Analysis of variance III: Factorial experiments
- Two-factor experiments
- Multi-factor experiments
Week 14:
 Analysis of covariance.
Week 15:
 Using statistical software
Week 16: (FINAL EXAM)
(FINAL EXAM)
Grading system: The final grade is calculated out of 100 points as follows:
- First term exam:    25 points
- Midterm exam       25 points
- Final exam     50 points