Data analysis for turfgrass management

Statistical data analysis is crucial in turfgrass research, enabling the examination, transformation, modelling and assessment of data to discover valuable insights, inform conclusions and aid decision‑making. By applying statistical methods to data sets, researchers can identify patterns, understand relationships, test hypotheses and estimate probabilities. This approach facilitates a comprehensive understanding of various aspects of turfgrass science such as genetics, physiology, pathology, entomology and responses to environmental stress, supporting the optimisation of growing conditions and maintenance practices to meet aesthetic, functional and safety standards.

Learning outcomes:

• Learn how to carry out robust scientific research using randomised, replicated data collection
• Gain a solid foundation in core statistical concepts
• Learn how to interpret, understand and communicate statistical findings effectively to different audiences
• Improve the ability to make informed decisions under conditions of uncertainty