 Statistical paradoxes

Statistical paradoxes refer to situations where data, statistics, or probabilities lead to counterintuitive or seemingly contradictory conclusions. These paradoxes often arise in the fields of statistics, probability, and decision theory, highlighting the challenges in interpreting statistical information correctly. Here are a few well-known examples of statistical paradoxes: 1. **Simpson's Paradox**: This occurs when a trend appears in several different groups of data but disappears or reverses when the groups are combined.