STATISTICAL ANALYSIS OF SMALL BUSINESS

Authors

  • Aziza Kalanova Tashkent Institute of Management and Economics Senior Lecturer

DOI:

https://doi.org/10.55640/

Keywords:

Small business, statistical analysis, regression, time series, decision-making, data-driven strategies, customer analytics, business forecasting

Abstract

This article explores the significance of statistical analysis in the development and sustainability of small businesses. It examines core methods such as descriptive and inferential statistics, regression, time series, and market analysis, demonstrating their practical applications in financial planning, customer behavior analysis, and decision-making. The study also highlights the challenges of data quality and small sample sizes, offering practical tools and technologies that enable small businesses to become data-driven. Ultimately, the article underscores that statistical literacy and data-informed strategies are essential for small business growth in competitive and uncertain environments.

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References

1.Ayyagari, M., Beck, T., & Demirgüç-Kunt, A. (2007). Small and medium enterprises across the globe. Small Business Economics, 29(4), 415–434. https://doi.org/10.1007/s11187-006-9002-5

2.Chen, M. A., & Ravallion, M. (2004). How have the world's poorest fared since the early 1980s?. The World Bank Research Observer, 19(2), 141–169. https://doi.org/10.1093/wbro/lkh019

3.Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

4.Storey, D. J. (2016). Understanding the small business sector. Routledge. https://doi.org/10.4324/9781315475592

5.Wren, C., & Storey, D. J. (2002). Evaluating the effect of soft business support upon small firm performance. Oxford Economic Papers, 54(2), 334–365. https://doi.org/10.1093/oep/54.2.334

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Published

2025-06-16

Issue

Vol. 4 No. 5 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

STATISTICAL ANALYSIS OF SMALL BUSINESS. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(5), 569-571. https://doi.org/10.55640/

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