MAT1202 Mathematical Statistics I

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

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

• To computer 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
• To make inference on the mean and variance of a normal distribution.    

Expected Learning Outcome 
At the end of this course unit, students will be able:

• 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.