Bayes’ Theorem: Application in Consecutive Olympic Gymnastics Participant

DOI

10.2991/978-94-6463-058-9_28How to use a DOI?

Keywords

Bayes Theorem; Sports Injury; Athlete Aging; Gymnastics

Abstract

This paper aims to predict the chances of gymnasts’ consecutive participation in the Olympic Games with the Bayes Theorem. The concept of conditional probability and the Bayes Theorem will be induced theoretically and demonstrated with idealistic examples of rolling the dice. The theories are subsequently applied along with standard distribution curves, historical statistics of consecutive Olympic Games participation, investigated injury rates among elite athletes, and age distributions of Olympic Games gymnasts to reach our predictive conclusion. Male and female gymnasts are discussed separately due to the differences between the apparatus. Overall, males tend to have a greater chance in consecutively participating in the Olympic Games than females.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yuhan Xiao
PY  - 2022
DA  - 2022/12/27
TI  - Bayes’ Theorem: Application in Consecutive Olympic Gymnastics Participant
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 154
EP  - 159
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_28
DO  - 10.2991/978-94-6463-058-9_28
ID  - Xiao2022
ER  -