Jerzy Neyman

Jerzy Neyman was a prominent statistician known for his contributions to statistical inference, especially in hypothesis testing and the design of experiments. He developed the Neyman-Pearson lemma, which provides a method for choosing between two competing hypotheses based on maximizing the probability of correctly rejecting the null hypothesis. Neyman also introduced the concept of confidence intervals, allowing researchers to estimate the range within which a true parameter lies, with a specific level of certainty. His work laid the foundation for modern statistical practices, greatly influencing how data is analyzed and interpreted in various fields.