Descriptive Statistics Essay

In research, the pack to accurately produce results is unequivocal to efficient research. squad Cs hypothesis of what causes champion ag conclaves involve m whatsoever tools provided in research to achieve a true answer. squad C has further simplified the baseing of champion team to all team whose team dynamics cause the team to have a taking season. With that being said, this paper will be focused on the research tools needed and the results provided by the tools to answer what stats be important for teams in the MLB to win farinaceouss and eventually be champions. times of Central TendenciesEven when dealing with howling(a) sets of information it is important to get an idea by looking at the measurements of central intention. The first three that will be looked at atomic human body 18 mean, median, and path. Mean is a measure of central tendency that offers a widely distributed video of information without inundating one with each of the observations in a i nfo set (Sekaran, p. 396, para 3). A more common term for mean is average. The median is the central item in a group of observations when they argon arrayed in ascending or descending order (Sekaran, p. 396, para 5). Mode is the almost frequently occurring phenomenon (Sekaran, 396, para 6). The following table shows the mean, median, and mode for the four sets of entropy that aggroup C will be researching Wins, Salary, positive Season Attendance, and Team Earned Run Average.Although the chart has shown detailed information, the need for dispersion will aid in achieving more precise entropy collection. DispersionDispersion is a critical part of statistics because of the accuracy factor. In team Cs hypothesis, the stats the team are searching for are the statsthat generate wins for a major(ip) confederation Baseball team. In dispersion, four subsets can help develop a more accurate establish of Team Cs hypothesis. The four are range, average deviation, variance, and regula r deviation.The four tools of dispersion help to paint a clear picture of how the four identified stats help develop winning teams. Measure skewness will help to make sure the data collected is uniform. Measure of SkewSkewness is a measure of symmetry, or more precisely, the wishing of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and decent of the center point (NIST/SEMATECK, 2010). The skewness for a normal distribution is zero, and any symmetric data should have skewness near zero. Negative set for the skewness indicate data skewed left and positive determine for the skewness indicate data skewed compensate-hand(a). Skewed left is delimitate as the left tail is long in comparison to the right tail on the histogram. Skewed right is defined as the right tail is long in comparison to the left tail histogram. WinsTeam Cs research demonstrates a champion Major unite Baseball team success is a result of the number of wins, payment of sh ams, season attendance, and the teams realise run average. The average wins for 30 teams, or the mean is 81, whereas the median is equal to the mean at 81 wins. The mode or most recurring number of wins is 95. The skewness of the utilize wins data results in a minus number, resulting in a negative or data skewed to the left. In this case the variance is so marginal that the histogram for wins would look symmetrical rather than negatively skewed. SalaryThe honorarium of a Major League player can be nigh tied to the lumber and quantity of the players ability and results. The team compensation mean is $73,063,563 and the median is $66,191,417. The skewness for this data is a 2.17, positively skewed to the right which means that the mean exceeds the median. This dramatic difference in data is a result of the variation in the highest team salary compared to the mean. The mean is $73,063,563 and there are extremes in glut of 200 one million million million dollars for a team sal ary pulling the mean in excess of the median. AttendanceAttendance in a Major League game directly impacts the budget and ability to pay higher salaries for better players. The data researched shows a mean of 2.4 million and a median of 2.5 million. The skewness is displayed as positively skewed or skewed to the right. The variance is rattling minimal resulting in a symmetrical histogram. The slight pull to the right is a result of increased attendance at 3.5 to 4 million at a handful of stadiums. Team ERAMeasurement of Central drift and Dispersion of DataMean, median and mode are used to measure central tendency and the dispersion of data. In general, the mean is the descriptive statistic most often used to describe the central tendency of a group of measurements.(Science Buddies, 2010) However, the mean is not always the best measure of central tendency and dispersion when there is a presence of extreme values in the data. Of the three measures, it is the most photosensitive me asurement, because its value always reflects the contributions of each of the data values in the group. The median and the mode are less sensitive to outliersdata values at the extremes of a group.(ScienceBuddies, 2010) The mode measures the highest recorded frequencies of data measures, and it helps to determine where most of the data lies. The mode is very useful when the data is overly skewed. The median helps to determine the quartile range and the skew of the data. The median is not affected much by the small proportion of the data with very high or very low values. The median is a heavy measure of the central tendency and dispersion of the data when considering what makes a Major League Baseball team successful team. afterwards reviewing all data collected, Team C has derived that the combination of these stats gives the solution for the hypothesis posed. SolutionAfter extensive research, Team C has discovered that the factors the team focused on do have an effect on the win s for a Major League Baseball team. In the case of attendance, a successful team call for a minimum of 2.4 million fans to be able to pay prime(prenominal) players. In addition, this high fan base can help generate the 73 million needed to pay quality players and operate the team. These quality players need to provide a minimum of 4.28 for the ERA. Although this stat is based on a pitcher, the team as a whole has to be good liberal to aid the pitcher in this goal. If the teams can achieve this goal, their average wins would be well over 81 wins for the season. This is a winning season, and eventually, as legion(predicate) teams that have fallen into these categories have shown, the championship could be the reward. ConclusionA team that plays smart and efficient will win games and championships. The number of wins, salaries, attendance, and earned run average (ERA) contribute to this success. ERA is the average number of runs allowed by the pitcher. The lower number of runs the better. The ERA stats tell us that the most number of wins by a team is 95. The overall team salaries indicate that the player salaries are indicative of player quality, ability, and results thereof. The attendance of the fans and public plays a major role in the success of the team. The monies generated from attendance make it possible for owners and wariness to hire quality talent. Owners and management must be consistent when hiring and managing the players. Team C has concluded through its research that these are the major factors for winning games and championships.ReferencesNIST/SEMATECH. (2010). e-Handbook of Statistical Methods, retrieved fromhttp//www.itl.nist.gov/div898/handbook eda/section3/eda35b.htm. Science Buddies. (2010). Summarizing Your Data. Retrieved fromhttp//www.sciencebuddies.org/science-fair-projects/project_data_analysis_summarizing_data.shtmlSekaran, U. (2003). Research Methods For Business A readiness Building Approach. (4th ed.). John Wiley & Son, Inc. New York, NY. *Histogram and other charts located on wedded Excel Spreadsheet*