Understanding quantitative analysis in sport and exercise science

This chapter provides a comprehensive overview of the concepts, tools, and approaches necessary for effective quantitative analysis in sport and exercise science. It begins with an exploration of inference, detailing how it reduces uncertainty and informs decisions about observations. It contrasts classical probabilities with frequentist probabilities and subjective probabilities. It then critically examines null-hypothesis significance testing (NHST), identifying common misinterpretations of p-values and the 'user interface' problem stemming from the hybrid nature of Fisher's and Neyman-Pearson's approaches.