Statistical Frameworks

Statistical frameworks are structured methods used to collect, analyze, and interpret data to make informed decisions or understand patterns. They provide tools and principles to quantify uncertainty, identify relationships, and draw valid conclusions from data samples. These frameworks guide how data is gathered, tested, and generalized, ensuring that findings are credible and meaningful. By applying statistical frameworks, researchers and analysts can objectively evaluate hypotheses, measure variability, and support evidence-based conclusions across various fields, such as science, business, and social sciences.