Contributions to Statistical Theory encompass a wide range of developments that enhance our understanding of data analysis and inference. Key figures, such as Ronald A. Fisher and Karl Pearson, introduced foundational concepts like hypothesis testing and correlation coefficients, which are essential for interpreting statistical relationships. Additionally, advancements in probability theory and estimation methods have significantly shaped the field. The introduction of Bayesian statistics by Thomas Bayes provided a new perspective on updating beliefs based on evidence, while non-parametric methods expanded the tools available for analyzing data without strict assumptions about its distribution.