{"id":{"repo_id":"unr","oai_identifier":"oai:scholarwolf.unr.edu:11714/567"},"canonical_url":"https://search.dev.ndltd.org/etd/unr/oai:scholarwolf.unr.edu:11714/567","repository":{"repo_id":"unr","name":"University of Nevada - Reno","base_url":"https://scholarwolf.unr.edu/server/oai/request"},"display":{"title":"Analysis of Statistical Impact of Steroids in Professional Major League Baseball Players","abstract":"Rampant steroid usage tainted Major League Baseball (MLB) in the late 1980s, and decades later, steroid usage is still a serious issue. Steroids, along with other illegal substances, have heavily impacted various statistics in professional baseball (Petersen, Jung, & Eugene Stanley, 2008). Many records - a more notable one being Barry Bond's 73 homerun season - have been broken during this timeframe, which has been coined as the \"Steroid Era\" of baseball (Rymer, 2012). In a sport with more statistics than any other, the impact steroid usage has on baseball statistics becomes fascinating, and this impact can be mapped in a variety of ways. In fact, there is an entire branch of statistical modeling specifically for baseball formally known as \"sabermetrics\"(SABR). The core of this thesis is an attempt to analyze the statistical impact steroids have on baseball statistics at a professional level. By utilizing various baseball sabermetrics to collect data, this study examines how steroids have a careerewide impact on the statistical distribution of a MLB player who used steroids with respect to a player who refrained from usage of such illegal substances. By applying various analyses on said data, potential differences can be made quantifiable.These results could be telling enough to portray suggestive anomalies in a MLB player's statistics. On a larger level, these results could be telling enough to discourage steroid usage among professional baseball players entirely.","abstract_html":"Rampant steroid usage tainted Major League Baseball (MLB) in the late 1980s, and decades later, steroid usage is still a serious issue. Steroids, along with other illegal substances, have heavily impacted various statistics in professional baseball (Petersen, Jung, &amp; Eugene Stanley, 2008). Many records - a more notable one being Barry Bond&#x27;s 73 homerun season - have been broken during this timeframe, which has been coined as the &quot;Steroid Era&quot; of baseball (Rymer, 2012). In a sport with more statistics than any other, the impact steroid usage has on baseball statistics becomes fascinating, and this impact can be mapped in a variety of ways. In fact, there is an entire branch of statistical modeling specifically for baseball formally known as &quot;sabermetrics&quot;(SABR). The core of this thesis is an attempt to analyze the statistical impact steroids have on baseball statistics at a professional level. By utilizing various baseball sabermetrics to collect data, this study examines how steroids have a careerewide impact on the statistical distribution of a MLB player who used steroids with respect to a player who refrained from usage of such illegal substances. By applying various analyses on said data, potential differences can be made quantifiable.These results could be telling enough to portray suggestive anomalies in a MLB player&#x27;s statistics. On a larger level, these results could be telling enough to discourage steroid usage among professional baseball players entirely.","abstract_has_math":false,"creators":["Ward, Joseph L."],"institution":"University of Nevada, Reno","degree_name":"Mathematics","degree_level":"Honors Thesis","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Quint, Thomas","Zaliapin, Ilya"],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015","date_published":"2015","updated_at":"2026-07-27T21:46:30Z","subjects":[],"languages":["en_US","English"],"rights":["In Copyright(All Rights Reserved)"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11714/567","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Quint, Thomas","Zaliapin, Ilya"]},{"key":"dc:creator","label":"Author","values":["Ward, Joseph L."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-01-24T23:09:11Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-01-24T23:09:11Z"]},{"key":"dc:date.issued","label":"Date","values":["2015"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Honors Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Mathematics"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Nevada, Reno"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright(All Rights Reserved)"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11714/567"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint."]},{"key":"dc:description.abstract","label":"Abstract","values":["Rampant steroid usage tainted Major League Baseball (MLB) in the late 1980s, and decades later, steroid usage is still a serious issue. Steroids, along with other illegal substances, have heavily impacted various statistics in professional baseball (Petersen, Jung, & Eugene Stanley, 2008). Many records - a more notable one being Barry Bond's 73 homerun season - have been broken during this timeframe, which has been coined as the \"Steroid Era\" of baseball (Rymer, 2012). In a sport with more statistics than any other, the impact steroid usage has on baseball statistics becomes fascinating, and this impact can be mapped in a variety of ways. In fact, there is an entire branch of statistical modeling specifically for baseball formally known as \"sabermetrics\"(SABR). The core of this thesis is an attempt to analyze the statistical impact steroids have on baseball statistics at a professional level. By utilizing various baseball sabermetrics to collect data, this study examines how steroids have a careerewide impact on the statistical distribution of a MLB player who used steroids with respect to a player who refrained from usage of such illegal substances. By applying various analyses on said data, potential differences can be made quantifiable.These results could be telling enough to portray suggestive anomalies in a MLB player's statistics. On a larger level, these results could be telling enough to discourage steroid usage among professional baseball players entirely."]},{"key":"dc:format","label":"Dc Format","values":["PDF"]},{"key":"dc:title","label":"Title","values":["Analysis of Statistical Impact of Steroids in Professional Major League Baseball Players"]}]}],"canonical_facts":{"dc:contributor.advisor":["Quint, Thomas","Zaliapin, Ilya"],"dc:creator":["Ward, Joseph L."],"dc:date.accessioned":["2017-01-24T23:09:11Z"],"dc:date.available":["2017-01-24T23:09:11Z"],"dc:date.issued":["2015"],"dc:description":["The University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint."],"dc:description.abstract":["Rampant steroid usage tainted Major League Baseball (MLB) in the late 1980s, and decades later, steroid usage is still a serious issue. Steroids, along with other illegal substances, have heavily impacted various statistics in professional baseball (Petersen, Jung, & Eugene Stanley, 2008). Many records - a more notable one being Barry Bond's 73 homerun season - have been broken during this timeframe, which has been coined as the \"Steroid Era\" of baseball (Rymer, 2012). In a sport with more statistics than any other, the impact steroid usage has on baseball statistics becomes fascinating, and this impact can be mapped in a variety of ways. In fact, there is an entire branch of statistical modeling specifically for baseball formally known as \"sabermetrics\"(SABR). The core of this thesis is an attempt to analyze the statistical impact steroids have on baseball statistics at a professional level. By utilizing various baseball sabermetrics to collect data, this study examines how steroids have a careerewide impact on the statistical distribution of a MLB player who used steroids with respect to a player who refrained from usage of such illegal substances. By applying various analyses on said data, potential differences can be made quantifiable.These results could be telling enough to portray suggestive anomalies in a MLB player's statistics. On a larger level, these results could be telling enough to discourage steroid usage among professional baseball players entirely."],"dc:format":["PDF"],"dc:identifier.uri":["http://hdl.handle.net/11714/567"],"dc:language":["English"],"dc:language.iso":["en_US"],"dc:rights":["In Copyright(All Rights Reserved)"],"dc:title":["Analysis of Statistical Impact of Steroids in Professional Major League Baseball Players"],"dc:type":["Thesis"],"thesis:degree_level":["Honors Thesis"],"thesis:degree_name":["Mathematics"],"thesis:institution_name":["University of Nevada, Reno"]},"updated_at":"2026-07-27T21:46:30Z"}