Descriptive Statistics Paper Essay Example

Pages: 5 (1712 words) Published: December 7, 2011
Descripitive Statistics Paper

Descriptive Statistics Paper
Laura L. Mason, Becky Matlock, and Nichole Noble
June 15, 2011
David Morrisson

Descriptive Statistics Paper
Major League Baseball is known as America’s favorite pastime, and MLB teams spend an extensive amount of money in the excess of a billion dollars with the ultimate goal to win the World Series. This learning team’s focus throughout this descriptive statistics paper is the MLB players’ performances, salaries, salary caps, and winning percentages. Though salaries will by no means be a trade for wins, the goal is to use the less experienced players and pay them a lower salary. Research has been done on whether or not player’s salaries and wins are connected. While examining the data collected, team A will conclude their discoveries based on but not limited to the use of data analysis using descriptive statistics. The basic features of data in studies are the descriptions of descriptive statistics. They supply straightforward summaries pertaining to the measures and samples. Combined with straightforward graphics analysis, descriptive statistics outline the foundation of each quantitative analysis of data. The research conducted by team A provides confirmation in the connection between wins and salaries within a MLB team’s season. Information indicates the baseball teams with top pay provided variety within the team’s line-up than teams with low pay. The New York Yankees had the highest payroll in 2005 and Tampa Bay had the lowest. Yankee players Jorge Posada, Derek Jeter, Alex Rodriquez, Hideki Matsui, and Jason Giambi contributed to the 0.586 winning percentage. According to the 2005 Baseball Almanac all the above players appeared in the top 25 offensive statistics and shortness of teamwork and individual motivation may have caused the 0.414 winning percentages in the season. Therefore, the excellence of player’s performances regarding the team has significant results in how games are won. Whether or not the excellence of members has any significance with the salaries paid to them is the question. According to baseball 2005 data statistics the median pay for the 30 MLB teams is 66.19 million. The average wins among the top five salary teams is 91.2 wins, besides the salary level of each team the most winning teams average is 96.8 wins. Therefore, the data proves no connection regarding wins and payroll. A prime instance of this data is the Chicago White Sox, their salaries placed thirteenth highest, but the team placed second in total wins. The combined salary of the 30 Major League Baseball teams is 73.06 million. The New York Yankees payroll is practically double the Boston Red Sox resulting to be skewed mean value, Red Sox resulting in a skew value of 2.17 million. Analyzing it further, taking out the top paid team the stats change; the skew becomes 0.31 million. Taking in account the standard deviation of the 30 MLB teams is 34.23 million, and by taking out the Yankees it lowers the standard deviation to 23.19 million, a huge difference when just one team is not used in the statistics. The charts below show the top five highest paying teams used for the data statistics charts. The first chart displays the salary ranking in association with the performance of each team. The second chart shows the performance averages in according to how each team in relationship to the batting, ERA’s, home runs, errors, and stolen bases. The statistics shown here do not represent the highest performance teams; they only show the highest paid teams. New York Yankees has the highest salary paid to any major league baseball team in the 2005 season. However, they do not have the most wins, Chicago White Socks and St Louis Cardinals both have higher wins with Chicago at 99.0 wins and St. Louis has 100.0 wins. Since they are not the highest paying teams, they did not make the list in the top five teams for salary.

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