RES 341
January 9, 2012
Amanuel Gobena
Table of confine
Descriptive Statistics1
Table of Contents2
Descriptive Statistics Intro3
Explanation of fundamental Tendency and Measures of dispersal 4
Baseball Statistical Data 5
Conclusion 6
Appendix (Graphs and Charts)7
oftenness Distribution & Quantitative Wins 7
Wins luck8
Batting Percentage 9 thru 12
Descriptive Statistics
Since the beginning baseball game history, managers have utilise players statistics, such as batting averages and act of home runs, to make decisions involving players, how they be traded to and from the team, and when to use them in a game. It was widely believed that high pitching and batting averages won games. scholarship Team C believes these argon classic but they are not the only statistics to consider when determining a peculiar(prenominal) teams ability to win, and has conducted research and selective information allurement to determine if other statistics play a more important role. This paper is the continuation of a series of papers that shoot a line batting, hitting, and earned run average as the key to sweet games.
Data analysis, including central tendency, dispersion and skew, and frequency distribution are all displayed using graphics and tabular techniques.
Explanation of Central Tendency and Measures of Dispersion
Central tendency is represented by the mean, median, or mode of a data set. As it pertains to the research of skill Team C, the best way to measure the central tendency would be by the mode. The mode is the score that occurs most in a specific data set. With researching the effects of hitting or pitching on the total number of wins for a baseball team, it is important to see the score that occurs most. When representing central tendency by means the number of scores to get an average divides the hit of all scores. When representing central tendency by median the data set is divided into two equal halves. These...If you want to get a full essay, order it on our website: Ordercustompaper.com
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