Part of the Society for Transparency, Openness Postprint and Replication in Kinesiology (STORK) Peer Reviewed Basic statistical considerations for physiology: The journal Temperature toolbox Aaron R. Caldwella* and Samuel N. Cheuvrontb aExercise Science Research Center, University of Arkansas–Fayetteville, Fayetteville, United States; bBiophysics and Biomedical Modelling Division, US Army Research Institute of Environmental Medicine, Natick, United States *corresponding author Address for Correspondence: Aaron R. Caldwell, M.Sc.
[email protected] This is an Accepted Manuscript of an article published by Taylor & Francis in Temperature on June 25th, 2019. A full, copy-edited version is available on the publisher’s website. Please cite as: Caldwell, A. R., & Cheuvront, S. N. (2019). Basic statistical considerations for physiology: The journal Temperature toolbox. Temperature, 6(3), 181–210. https://doi.org/10.1080/23328940.2019.1624131 Keywords: statistics, metascience, NHST, power analysis, experimental design, effect sizes, open science, nonparametric, preregistration, bootstrapping, optional stopping Abbreviations AIPE: Accuracy in parameter estimation ANOVA: Analysis of variance CV: Coefficient of variation NHST: Null hypothesis significance testing TOST: Two one-sided tests SESOI: Smallest effect size of interest All authors have read and approved this version of the manuscript to be shared on SportRxiv. The publisher’s version article was published on June 25th, 2019; in accordance with Taylor & Francis accepted manuscript policy and Green OA embargo policy as of June 25th 2020 the accepted manuscript may now be shared on a subject repository. Author ARC @exphysstudent can be reached on Twitter. Abstract The average environmental and occupational physiologist may find statistics are difficult to interpret and use since their formal training in statistics is limited.