Statistical Analysis, coupled with the use of technology, is essential in making informed decisions as well as in conducting research effectively. Hence, Accounting, Management Accounting and Accounting Information Systems students must be proficient in conducting any statistical analysis, in using available software, in making inferences, and formulating sound decisions. This course equips the learners with a thorough understanding of the basic statistical concepts, multivariate parametric statistical techniques, binary logistic regression analysis, ordinal regression analysis, non-parametric statistical techniques, factor analysis, and the use of Gretl for econometrics.

Learners are expected to be able to explain basic statistical concepts such as descriptive measures, tabular and graphical representation of data, correlation, and regression analysis. Also, they must be able to use statistical software like Excel, JASP, and Gretl to generate tables and graphs or perform computations. Moreover, they are expected to be able to identify the appropriate statistical tool applicable to any given problem and interpret and communicate the results of the statistical analysis.