Courses Catalogue

Introduction To Probability Theory

COURSE CODE: STA 1203
COURSE CREDIT UNIT: 3
ACADEMIC PROGRAMME: Statistics
COLLEGE/SCHOOL/FACULTY: College of Economics and Management
STATUS: Core
PROGRAMME TYPE: Undergraduate

Course Description

Will equip students with the fundamentals of Probability Theory with emphasis on practical data

EXPECTED LEARNING OUTCOMES
By the end of the course unit students should be able to;COURSE CONTENT
Fundamental concepts
•    Postulates-using proportions as the entry point.
•     Outcome
•     sample space
•     probability in discrete sample spaces.
•     Events
 The algebra of events
•     Union
•     intersection.
•     Conditional Probability
•     independent events
•     random variables using sampling from a population as the entry point
 
Probability functions
•     Mathematical expectations.
•     Chebyshevs inequality.
 
Data types
•    Common probability distributions for different data types - emphasis on practical examples.
  Probability distributions
•     Binomial
•     Poisson
•     normal probability distributions and their important properties
•     Weibull
•    Gamma
•     Log-normal and Pareto distributions
•     Joint bivariate (2-dimensional) distributions.
•     Concept of covariance and correlation.

MODE OF DELIVERY
•    Lectures
•    Reading assignments
•    Practical assignments
•    Field trips
•    Documentaries
INSTRUCTIONAL MATERIALS AND / OR EQUIPMENT
•    Whiteboard and Markers
•    Flip Charts
•    LCD Projectors
•    CDs, DVDs and Tapes

  • Acquire knowledge on practical situations.