Statistics plays a fundamental role in improving the quality of data and scientific research, as it provides a rigorous methodological framework for data collection, organization, and analysis. It helps in selecting an appropriate sample size and reducing bias and errors during data collection, in addition to detecting outliers and handling missing data to ensure the accuracy of results. Statistics also contributes to choosing statistical tests suited to the nature of the data and to estimating relationships and trends in a reliable way that allows results to be generalized and interpreted scientifically. Moreover, statistics enables researchers and decision-makers to rely on objective quantitative evidence rather than personal judgment, which enhances the reliability of studies, their reproducibility, and their suitability for scientific publication. With the expanding use of big data and digital transformation, the importance of statistics has increased as a key tool for data analysis, prediction, and decision support in fields such as medicine, economics, education, and modern technologies. Thus, statistics is considered a central element in improving the quality of scientific research and strengthening its cognitive and practical value.