This statistics course concentrates on the knowledge of statistical analyses necessary for the manager. It covers typical descriptive measures of data: central tendency and dispersion; fundamentals of probability theory as a basis for subsequent statistical inference techniques; and estimation and hypotheses testing of means and proportions; tests of goodness-of-fit and independence; linear regression and correlation analyses. Additional topics are analysis of variance and selected decision theory techniques. The objectives are therefore to give students knowledge and techniques to analyze and solve real world business problems and to introduce to students computer software techniques for achieving these objectives.

CILO-1: This course aims to provide an opportunity for MBA and MSC Accounting program cohorts to understand and appreciate the broad use of statistics in solving business problem, and reading and writing a quantitative research paper. CILO-2: The objectives are to demonstrate how to summarize, present and analyze data using commonly available computing tool Microsoft EXCEL Data Analysis ToolPak. CILO-3: The emphasis here is on developing the ability to effectively communicate statistical data and the results of analysis.