Introduction This report summarises the research activities and findings from the TLRI-funded project conducted in Year 13, introductory university and workplace classes, entitled “‘Bootstrapping’ Statistical Inferential Reasoning”. The project was a 2-year collaboration among three statisticians, two researchers, 16 Year 13 teachers, seven university lecturers, one workplace practitioner, three teacher professional development facilitators, and one quality assurance advisor. The project team designed innovative computer-based approaches to develop students’ inferential reasoning and sought evidence that these innovations were effective in developing students’ understanding of statistical inference. Key findings The bootstrapping and randomisation methods using dynamic visualisations especially designed to enhance conceptual understanding have the potential to transform the learning of statistical inference.