The role of statistical analysis in organizational decision-making in some selected private institutions in Mogadishu, Somalia

This thesis explores the role of statistical analysis in decision-making within private institutions in Mogadishu. The study aims to address challenges such as limited awareness and understanding, inadequate data-driven decision-making, and implementation barriers. The objectives include identifying statistical analysis techniques used, assessing the impact on decision-making accuracy, examining challenges faced, and identifying benefits and opportunities. The target populations
include Hormuud Telecom, Premier Bank, and Mogadishu University, with a total population of 100. A sample size of 80 respondents is determined through purposive and random sampling methods. The research design adopts a quantitative approach, and data is collected through a self-administered questionnaire. The findings highlight the benefits of statistical analysis but also reveal challenges such as limited data availability and skills in decision-making. Addressing these challenges is crucial for
effective decision-making. The study recommends increasing data availability, promoting skill development, raising awareness, and allocating sufficient resources. By implementing these recommendations, private institutions can enhance their utilisation of statistical analysis and improve decision outcomes.

Keywords: Statistical Analysis, Organizational Decision Making, Private Institutions,
Mogadishu.