This study focuses on the development of four tertiary introductory statistics students' informal inferential reasoning while engaging in data driven repeated sampling and resampling activities. Through the use of hands-on manipulatives and simulations with technology, the participants constructed empirical sampling distributions in order to investigate the inferences that can be drawn from the data. Students' developing reasoning of sampling and informal inference is reported as they move from repeated sampling methods to resampling methods, along with their reasoning of bootstrapping methods and how this reasoning was applied to make informal inferential claims. [For the complete proceedings, see ED583989.]