THE USE OF STATISTICAL METHODS IN ANALYZING ACCOUNTING DATA
Keywords:
Keywords: statistics, accounting data, regression analysis, financial reporting, data accuracy, forecasting.Abstract
Abstract
This research explores how statistical methods are applied in analyzing accounting data to enhance accuracy, reliability, and decision-making. The integration of statistics into accounting processes helps identify financial trends, detect irregularities, and predict future performance. Using a qualitative research approach, the article reviews relevant literature and discusses how tools such as correlation, regression, and time-series analysis support accountants in evaluating financial statements. Findings show that the use of statistical techniques improves data quality, strengthens auditing, and supports evidence-based financial decisions.
References
Warren, C. S., Reeve, J. M., & Fess, P. E. (2021). Financial and Managerial Accounting. Cengage Learning.
Atrill, P., & McLaney, E. (2022). Accounting and Finance for Non-Specialists. Pearson Education.
PwC. (2023). The Future of Data Analytics in Accounting. Retrieved from https://www.pwc.com
KPMG. (2024). Data Analytics and Risk Assessment in Modern Accounting. Retrieved from https://home.kpmg
International Federation of Accountants (IFAC). (2024). Integrating Statistical Methods in Financial Analysis. Retrieved from https://www.ifac.org
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