THE USE OF STATISTICAL METHODS IN ANALYZING ACCOUNTING DATA

Authors

  • Akbar Askarovich Nematov Author
  • Bexzodjon Usmonovich Shermuhammedov Author

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

1.Warren, C. S., Reeve, J. M., & Fess, P. E. (2021). Financial and Managerial Accounting. Cengage Learning.

2.Atrill, P., & McLaney, E. (2022). Accounting and Finance for Non-Specialists. Pearson Education.

3.PwC. (2023). The Future of Data Analytics in Accounting. Retrieved from https://www.pwc.com

4.KPMG. (2024). Data Analytics and Risk Assessment in Modern Accounting. Retrieved from https://home.kpmg

5.International Federation of Accountants (IFAC). (2024). Integrating Statistical Methods in Financial Analysis. Retrieved from https://www.ifac.org

6.Would you like me to convert this article into a Word (.docx) file — same format as your first uploaded AI accounting paper (title page, spacing, and alignment identical)?

Published

2025-10-28

How to Cite

[1]
2025. THE USE OF STATISTICAL METHODS IN ANALYZING ACCOUNTING DATA. Ustozlar uchun. 82, 1 (Oct. 2025), 366–369.