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Discrete Statistics

Course Name: 
Discrete Statistics
Course Code: 
STAT 2002
Course Credits: 
3
Level: 
II
Prerequisites: 
STAT1001: Statistics for the Sciences, MATH1142: Calculus I
Course Description: 

This course will enable the students to perform a range of nonparametric methods and robust procedures that do not assume that the sample data are from pre-specified families of distribution.

We will first look at the definition of scales of measurement, the pros and cons for weak assumptions, test of locations and other distribution-free methods. This will prepare students who are interested in research (qualitative and quantitative), socio-economic and environmental problems, and ratings (movie, celebrities etc.) to name a few. 

Content: 
Introduction: Scales of Measurements; Inference on Location: Inference on Dispersion; Rank Correlation; Test of Randomness; Goodness of Fit; Design of Experiment; Categorical Data
Assessment: 
The Course will be assessed as follows: i. Mid-term test worth 15% ii. Problem Papers/Lab assignments 15% iii. Final written examination paper worth 70%
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