Bruno's Stat Lab

# Bruno's Stat Lab - Introduction The Oxford Dictionary of...

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Introduction The Oxford Dictionary of English defines “statistics” as, “the collection and analysis of numerical data in large quantities” (Oxford, 1997). But before any data can be considered relevant, any of several different tests are preformed on the collected data. Statisticians have devised many mathematical tests serve as a way of measuring the significance and relationship between sets of data. While that is the basic premise of statistics, it has been applied to almost every facet of everyday life. Statistics are used by marketers, meteorologists, genetic counselors, scientists, doctors, and a myriad of other professionals. The most commonly encountered forms of statistics are sports statistics. It seems that every male knows at least a handful of statistical facts about their favorite player, whether the sport be football, basketball, or soccer. Statistics is not only applied to only the players but sometimes to different aspects of the games themselves. Particularly interesting, not to mention helpful, is the application of statistics in soccer. Researchers conducted logistical regression tests on data collected from thirty-seven matches in the 2002 FIFA World Cup to determine what factors affect the likelihood of scoring a goal. The tests “found five factors that had a significant effect on determining the success of the kicked shot,” which were: “distance from the goal, angle from the goal, whether or not the player taking the shot was at least 1 m away from the nearest defender, whether or not the kick was preceded by a cross, and the number of outfield players between the shot-taker and goal” (Ensum, et al. 2004). This is an interesting application of statistical analysis that illustrates the versatility of statistics. It does not always have to be solely applied to scientific or mathematical themes. Although there are some applications were the scientific meets the mundane. Researchers can use statistics to analyze soccer players from a medical perspective. Data can be collected and processed in order to ascertain various statistics related to injuries and other physiological

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effects. German researcher Karsten Knobloch measured the cardiac output in female soccer players in relation to endurance training (Knobloch, 2007). A study was conducted to examine the “characteristic plantar pressure distribution patterns during soccer-specific movements” (Eils, et al., 2004) using data from the 2002 World Cup again. The chance of an injury occurring was also explored through statistical analysis. It was found that the risk of injuries increased after prolonged playing time (Junge, et al., 2004). The uses of statistical analysis are limited only by the imagination of the statistician and especially the accuracy of the data collected. Statistical analysis means nothing if the data is incorrect. Methods and Materials
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## This note was uploaded on 10/12/2011 for the course BIOLOGY 100 taught by Professor Smith during the Spring '11 term at South Carolina Upstate.

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Bruno's Stat Lab - Introduction The Oxford Dictionary of...

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