Animal Breeding and Genetic - Vet Students

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Course Code: 
12226
Course Outline: 
Faculty of Agriculture
Agricultural Statistics (96334)
First  Semester 2009/2010
Lecture days and time: Monday/Wednesday 9.5-11
Instructor: Jihad ABDALLAH
Objectives: acquaint the students with the main concepts and tools for the statistical analysis of data. These concepts will be demonstrated using examples from the field of agriculture.
Textbooks: No textbook is required but the following are useful resources:
1) Principles and procedures of statistics: a biometrical approach. Robert Steel, James Torrie, and David Dickey. Third Edition, 1997.
2) HyperStat Online Statistics Textbook, by David M. Lane
http://davidmlane.com/hyperstat/index.html
3) Online Statistics: An Interactive Multimedia Course of Study, by David Lane et al. http://onlinestatbook.com/index.html
Lecture Topics
Week 1:
Introduction:
- Definitions
- Types of variables
Sampling and sampling methods
Week 2:
 Measures of central tendency:
- The mean, the median and the mode
- Percentiles, deciles and quartiles
 Measures of variation:
- Range
- Variance and standard deviation
- Coefficient of variation
Week 3:
Frequency tables
Graphical description of data
Week 4+ 5:
 Basic concepts of probability
- Definitions
- Axioms of probability and probability rules
- Conditional probability
 (End of material for first exam)
Week 6:
(First hour exam)
 Discrete Probability distributions
- Mean and variance of a discrete probability distribution
- Binomial distribution
Week 7:
Continuous probability distributions:
- Normal distribution
- Standard normal distribution
Week 8:
 Calculation of areas under the normal curve
Week 9:
 Sampling distributions.
Estimation:
-  Point estimation
 -  Interval estimation
Week 10:
 Hypothesis testing:
- Testing single population mean
     (End of material for second exam)
Weeks 11+12:
- Testing the difference between two population means
- Known variances
- Unknown variances
- Case 1: Equal variances
 - Case 2: Unequal variances
(Second hour exam)
Week 13:
- Paired t-test
- Testing equality of variances
- Types of error and the power of test
Week 14:
 Simple regression analysis
Week 15:
 Introduction to ANOVA:
- CRD design
- RCBD design
Week 16: (Final Exam)
Grading system: The final grade is calculated out of 100 points as follows:
- First hour exam:   25 points
- Second hour exam        25 points
- Final exam    50 points

Important note: If, for whatever reason, an exam is not held on the designed date it will be held on the next lecture day.