Statistics for Accounting Analytics

Catalog description

Addresses theories of probability and uncertainty through the use of statistics including descriptive, predictive and prescriptive analyses as well as regression and other models to support audit decisions and conclusions. This heavily quantitative course starts with a realization that probability and uncertainty can be alleviated (or compounded) with different statistical decision making and so starts with theories of probability and uncertainty to properly understand these concepts. Once these concepts are grounded, this class focuses on data, techniques and technologies that can aid in appropriate decision making with accounting. Emphasizes formulating real-world models--driven by descriptive, predictive and prescriptive statistics--to represent complex real-world accounting decision problems and on using a variety of tools to gain better insight into properly addressing these problems.