Descriptive Statistics Paper
Laura L. Mason, Becky Matlock, and Nichole Noble
RES/341
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