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Abstract
“Without data, you’re just another person with an opinion.”
- W. Edwards Deming
The importance of statistical data analysis as a key tool for advancing evidence-based research is examined in this paper. Statistical techniques are essential in today's research environment for converting unstructured data into insightful knowledge that supports sensible findings and sensible strategies. The study highlights the necessity for scientifically based methods while addressing the dearth of empirical rigor in some fields of social and policy research. Its primary goal is to investigate the ways in which statistical tools support data-driven policymaking by improving the validity, accuracy, and trustworthiness of research findings. The study illustrates how the appropriate use of statistical analysis can close the gap between theory and practice through a review of the literature, case studies, and the development of a conceptual model. The results imply that statistical analysis not only improves research accuracy but also facilitates well-informed decision-making and efficient use of resources, which eventually results in more impactful and transparent policy frameworks.
Keywords:
Keywords: Statistical Analysis, Evidence-Based Research, Data Analytics, Policy Decision-Making, Empirical Methods, Research Methodology, Data Interpretation.
Cite Article:
"Statistical Data Analysis as a tool for Evidence-Based Research ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a283-a300, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511037.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator