Description: The Quantitative Analysis Framework is a structured approach to conducting quantitative analysis, based on the collection and analysis of numerical data to draw meaningful conclusions. This framework allows researchers and analysts to apply statistical and mathematical methods to interpret data, facilitating the identification of patterns, trends, and relationships between variables. Its relevance lies in its ability to provide an objective and measurable basis for decision-making, which is essential in fields such as data science, economics, psychology, and public health. Through techniques such as regression analysis, analysis of variance, and descriptive statistics, the Quantitative Analysis Framework helps transform raw data into useful information, enabling professionals to address complex questions and formulate hypotheses that can be empirically tested. This approach not only focuses on data collection but also emphasizes the importance of data quality and validity, ensuring that results are reliable and applicable in various real-world contexts.
