Stats Term Paper
The Probability of On-Base Percentage
Affecting Total Team Wins
I. Abstract In the baseball world, On-Base Percentage is the key element to a team’s advancement to post-season play, because offensive domination is essential to the desired outcome, namely, winning. The following will describe the relationship between On-Base Percentage and the total amount of wins a Major League Baseball team receives using a linear regression model and other descriptive graphs.
II. Introduction Essentially, scoring runs in baseball is the only way to win games. However, if players are not able to get on base then no one can cross home plate, resulting in a loss. So, do the amount of games a baseball team wins correlate to the team’s On-Base Percentage? First, what contributes to the On-Base Percentage of a team: The total number of hits? Walks?... On-Base Percentage is averages using the following five statistics: Walks, Hits, At-Bats, Hit-by Pitches and Sacrifice Flies. (A sacrifice fly is when the batter presumably intends to cause a teammate to score a run, while sacrificing his own ability to do so). “The Oakland A’s and several other teams have found great success by fielding a competitive team by stressing on-base-percentage…” (Lewis 2003). The following research paper uses statistical analysis and descriptive analysis to show that On-Base Percentage affects the total amount of wins of a team. The data set will consist of the last 30 seasons of the Boston Red Sox, showing their On-Base Percentage and their total amount of wins.
III. Descriptive Statistics The following focuses on the discipline of quantitatively describing the main features of a collection of data. It measures different statistics of the variables such as: the mean, standard deviation, minimum and maximum, and the range. These are just a few statistics that form the basis of most quantitative analysis of data. In Table 1, the descriptive statistics will be shown for both variable X and Y:
Affecting Total Team Wins
I. Abstract In the baseball world, On-Base Percentage is the key element to a team’s advancement to post-season play, because offensive domination is essential to the desired outcome, namely, winning. The following will describe the relationship between On-Base Percentage and the total amount of wins a Major League Baseball team receives using a linear regression model and other descriptive graphs.
II. Introduction Essentially, scoring runs in baseball is the only way to win games. However, if players are not able to get on base then no one can cross home plate, resulting in a loss. So, do the amount of games a baseball team wins correlate to the team’s On-Base Percentage? First, what contributes to the On-Base Percentage of a team: The total number of hits? Walks?... On-Base Percentage is averages using the following five statistics: Walks, Hits, At-Bats, Hit-by Pitches and Sacrifice Flies. (A sacrifice fly is when the batter presumably intends to cause a teammate to score a run, while sacrificing his own ability to do so). “The Oakland A’s and several other teams have found great success by fielding a competitive team by stressing on-base-percentage…” (Lewis 2003). The following research paper uses statistical analysis and descriptive analysis to show that On-Base Percentage affects the total amount of wins of a team. The data set will consist of the last 30 seasons of the Boston Red Sox, showing their On-Base Percentage and their total amount of wins.
III. Descriptive Statistics The following focuses on the discipline of quantitatively describing the main features of a collection of data. It measures different statistics of the variables such as: the mean, standard deviation, minimum and maximum, and the range. These are just a few statistics that form the basis of most quantitative analysis of data. In Table 1, the descriptive statistics will be shown for both variable X and Y:
References: "Baseball-Reference- Major League Baseball Statistics and History." Baseball-Reference. USA TODAY Sports, n.d. Web. 5 Dec. 2012. <http://www.baseball-reference.com/>. Levine, David M., Timothy C. Krehbiel, and Mark L. Berenson. Business Statistics: a First Course. Upper Saddle River, NJ: Pearson Prentice Hall, 2010. Print. Lewis, Michael. "Chapter 2 - How To Find A Ballplayer." Moneyball: The Art of Winning an Unfair Game. New York: W.W. Norton, 2003. N. pag. Print. "The Official Site of The Boston Red Sox | Redsox.com: Homepage." Boston Red Sox. N.p., n.d. Web. 5 Dec. 2012. <http://boston.redsox.mlb.com/index.jsp?c_id=bos>.