philosophical foundations of statistics

The philosophical foundations of statistics explore how we interpret uncertain data and make inferences about the world. It centers on understanding what conclusions can be justified from limited or variable information, balancing evidence with doubt. Key ideas include the distinction between belief and evidence, the role of probability in quantifying uncertainty, and principles that guide fair and rational decision-making under uncertainty. Essentially, it underpins how we use data to learn about things we can't know with complete certainty, ensuring our conclusions are justified, transparent, and scientifically sound.