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 statistical inference. Course Objectives:The objectives of the course are: