Business Statistics

Learning Outcomes

Upon successful completion of this course, students are expected to be able to explain and apply basic techniques to present and summarise data using descriptive statistics and a statistical software; explain and apply basic concepts and common techniques of probability, random variables, and different probability distributions; explain and apply basic concepts of sampling and estimation techniques; explain and apply basic techniques in hypothesis testing of one-, two-, or more samples using a statistical software; explain and apply basic techniques and analysis in regression using a statistical software; explain and apply basic techniques in non-parametric statistics using a statistical software.

Topics

This course is designed for students taking Marketing, International Business, and Information System programs that introduces the basic concepts of statistics for research. To develop analytical skills in conducting research and thesis-writing, topics covered in this course include not only descriptive statistics, but also fundamental inferential parametric and non-parametric statistics. Having learned the basic probability theory, discrete and continuous probability distributions, estimation techniques, one-sample and two-sample hypothesis testing, and simple linear and multiple regressions for parametric statistics, students will also learn the equivalent non-parametric statistics. The use of statistical software using Excel and/or SPSS is introduced and encouraged in order to better present the data summary and automate statistical calculations.