Application of Statistical Methods in Business Administration: A Quantitative Study on Organizational Performance

Statistical methods have become indispensable in modern business administration, offering structured approaches for decision-making, performance evaluation, and strategic planning. This study investigates the application of statistical methods in analyzing organizational performance across business sectors. A quantitative research design was employed, using survey data collected from 200 mid-level managers across manufacturing, services, and IT industries. Descriptive statistics, correlation, regression, and ANOVA were applied to identify significant relationships between statistical methods usage and organizational performance metrics such as productivity, profitability, and employee efficiency. Results indicate that firms adopting advanced statistical tools demonstrate superior performance outcomes compared to those relying on traditional approaches. The study concludes that integrating statistical methods into business administration significantly enhances organizational performance, thereby justifying greater investment in statistical literacy and technology integration.

Statistical Methods, Business Administration, Quantitative Analysis, Organizational Performance, Regression, ANOVA, Data-Driven Decision Making.

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