This study delves into the evaluation of the effectiveness of exponential product-type estimators, incorporating embedded imputation techniques across multiple successive occasions. We conduct a comprehensive analysis, exploring the performance, advantages, and limitations of these estimators in the context of successive data points. Our research contributes to the understanding of statistical estimation methods and provides insights into the application of embedded imputation techniques for enhancing the accuracy and reliability of exponential product-type estimators. The findings aim to inform researchers, practitioners, and policymakers involved in data analysis and statistical modeling.

This study presents a statistical analysis of organizational performance using factor analysis, with a focus on a bank in Ghana. Organizational performance is a critical aspect of business success, and understanding its underlying factors is essential for strategic decision-making and performance improvement. Factor analysis is utilized to identify and analyze the key dimensions influencing organizational performance within the banking sector in Ghana. The study employs data collected from the bank's various performance indicators and organizational metrics to construct a statistical model of organizational performance. The findings shed light on the significant factors contributing to organizational effectiveness and provide insights into areas for targeted intervention and improvement.