Accounting and Finance Applications for Introduction to Statistics with R

132 Pages Posted: 11 Jun 2018

See all articles by Theophanis C. Stratopoulos

Theophanis C. Stratopoulos

University of Waterloo - School of Accounting and Finance

Duane B. Kennedy

University of Waterloo - School of Accounting and Finance

Date Written: March 20, 2018

Abstract

Instructors need materials such as instructions, cases, data, and software code in order to understand the basics of data analytics so that they can introduce the topic in their courses. We developed these materials to help instructors teach data analytics in their classes. These notes deliver the following learning outcomes: 1) Understand and use statistical concepts and techniques, and interpret statistical results. 2) Identify accounting and finance (A&F) specific applications of statistical concepts and techniques. 3) Identify practical sources of A&F data (e.g., stock market data, financial statement data, actual company specific sales and inventory data) and understand how data is structured. 4) Use the R statistical package to load/understand data, generate new variables (transform data), and perform appropriate statistical analysis on A&F data. 5) Interpret statistical results leveraging A&F knowledge.

Keywords: Data Analytics, Financial Accounting, Managerial Accounting, Finance, Statistics, R

Suggested Citation

Stratopoulos, Theophanis C. and Kennedy, Duane B., Accounting and Finance Applications for Introduction to Statistics with R (March 20, 2018). Available at SSRN: https://ssrn.com/abstract=3184054 or http://dx.doi.org/10.2139/ssrn.3184054

Theophanis C. Stratopoulos (Contact Author)

University of Waterloo - School of Accounting and Finance ( email )

200 University Avenue West
Waterloo, Ontario N2L 3G1 N2L 3G1
Canada
519-888-4567 x35943 (Phone)

Duane B. Kennedy

University of Waterloo - School of Accounting and Finance ( email )

200 University Avenue West
Waterloo, Ontario N2L 3G1
Canada
519-888-4752 (Phone)

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