Using Golf Analytics to Determine the Optimal Age Range for Golfers on the PGA Tour

Autor:	Noni Zaharia
Rok vydání:	2019
Předmět:	Continuous variable Multidisciplinary Analytics business.industry Statistics Anova test Range (statistics) business Psychology Categorical variable Test (assessment)
Zdroj:	Modern Applied Science. 13:42
ISSN:	1913-1852 1913-1844
Popis:	The study sought to address the belief that professional male golfers suffer a decline in performance as they age. Thus, the purpose of this research was to understand if age affects male golfers’ performance on their entire performance for the PGA Tour for five seasons starting with 2013 and ending with 2017. The researcher sampled the top one hundred professional male golfers from the stated five seasons. The continuous variable was the average score of the golfers, while the categorical variable was the age range (20-29 years old, 30-39 years old, 40+ years old). Based on the amount of variables and the question to answer, the researcher decided to run an ANOVA test. After running this analytical test, the author concluded that there is no impact on the male golfers’ performance based on their age range (20-29 years old, 30-39 years old, 40+ years old). These results are not on par with what was suggested from past findings.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::540a90c3cba511b70906b4063e5c89f9 https://doi.org/10.5539/mas.v13n3p42 Zobrazit plný text záznamu