MAT1202: Probability Theory I

This is an introductory course in probability and statistics. Topics covered include: Descriptive Statistics; Probability spaces; Random variables; Common discrete distributions; Sampling theory; as well as Methods of statistical inference.

Course Objectives   
On successful completion of this course unit, the learners should be able to: 

• To compute the measures of central tendency including the mean, median, mode, quartiles and inter-quartile range, percentiles and deciles from a set data. 
• To construct statistical experiments and use axiomatic definition of probability to compute probabilities 
• To identify common discrete and continuous distributions and their applications iv. To make inference on the mean and variance of a normal distribution.

Expected Learning Outcome
This course unit is meant: 

• To discuss the basic competence in the concepts, principles, procedures and applications of probability of events and their single variable probability distributions. 
• To encourage orderliness, speed and accuracy in the presentation of mathematical probability problems. 
• To help learners acquire the skills of expression in proper mathematical language and symbols correctly in probability and statistics. 
• To provide instruction that contributes to the learners’ abilities to think critically and solve real life problems, to reason mathematically and apply computational skills in probability and statistics. 
• To build a strong foundation for advanced study in probability and statistics.