STATISTICAL ANALYSIS OF SMALL BUSINESS
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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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