Elements of Probability and Statistics

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Course Code: 
Course Credit Units: 
Semester 2
Year of Study: 
Year 1
Undergraduate or Graduate Level: 
Undergraduate Level
Course Discipline: 
Course Description & Objectives: 

This is an introductory course in probability and statistics. It introduces the student to sample spaces, algebra of events, defines probability and gives its axioms.  It also covers conditional probabilities, independence of events, Bayes’ theorem and application of combinatorial theory. In addition, random variables and probability distributions are studied. It ends with introduction to the sampling theory and 

Learning Outcomes: 

The objectives of the course are: 

  • To identify common distributions and their applications.
  • To lay a foundation for advanced study in probability and statistics.
  • To make inference on the mean of a normal distribution.
  • To simulate values from these distributions 
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