Probability and Statistics

Topic 4: Counting

• The Basic of Counting

• The Pigeonhole Principle

• Permutations and Combinations

• Binomial Coefficients and Identities

• Generalized Permutations and Combinations

• Applications of Recurrence Relation

• Solving Linear Recurrence Relations

• Counting arguments

• Generating Functions

• Inclusion-Exclusion

Topic 7: Discrete Probability

• Introduction to Discrete Probability

• Probability Theory

• Bayes’ theorem

• Integer random variables (Bernoulli, binomial)

• Expected Value and Variance

This course provides an elementary introduction to probability and statistics with applications. Topics include probability theorem, random variables, probability distribution, statistical inferences which is including estimation and hypothesis testing, and finally the regression concept.

Course Outcome

• Ability to apply the theory of probability and solve discrete and continuous random variables.

• Ability to understand and apply the concepts of probability distributions.

• Ability to apply hypothesis testing and simple linear regression model to solve engineering problems.

EQT272. This is an available course offered by IMK