Jolynn Pek|Trisha Van Zandt
Frequentist and Bayesian approaches to data analysis: Evaluation and estimation
The Ohio State University|The Ohio State University
statistical thinking essential understanding nature scientific results consumer statistical thinking also facilitates thinking like scientist instead emphasizing correct procedure data analysis outcome statistical thinking focuses process data analysis article reviews frequentist bayesian approaches teachers promote less wellknown statistical perspectives encourage statistical thinking within frequentist bayesian approaches highlight important distinctions statistical evaluation versus estimation using example facial feedback hypothesis first introduce elementary statistical concepts illustrated simulated data finally demonstrate approaches applied empirical data obtained registered replication report data r code example provided supplementary teaching material conclude discussion key learning outcomes centred promoting statistical thinking