EconPapers    
Economics at your fingertips  
 

Slugging Percentage in Differing Baseball Counts

Hopkins Tharemy and Magel Rhonda C.
Additional contact information
Hopkins Tharemy: North Dakota State University
Magel Rhonda C.: North Dakota State University

Journal of Quantitative Analysis in Sports, 2008, vol. 4, issue 4, 8

Abstract: The objective of this research is to compare average slugging percentages between each of the various types of counts in baseball. Data is collected from 1260 MLB games played between March 20, 2008 and April 20, 2008. It is found that the average slugging percentage is significantly lower in pitcher's counts than in either neutral or hitter's counts. No significant different was found between the average slugging percentage in neutral counts versus hitter's counts.

Keywords: ANOVA; Dunnett’s test (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2202/1559-0410.1136 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:4:y:2008:i:4:n:2

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.2202/1559-0410.1136

Access Statistics for this article

Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman

More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:jqsprt:v:4:y:2008:i:4:n:2