Baseball 2005, a data set provided by the University of Phoenix (2012), provides a realistic set of information to develop a test of hypothesis using the five- step process. Below the paragraphs will explain the five-step hypothesis test on data pertaining to American league and National league. We will be explaining the results of the hypothesis test and data tables using graphical and tabular methods of displaying data and results for the hypothesis.
Major League Baseball game attendance is the topic of choice for this paper. The hypothesis question that was formulated for sample hypothesis testing that was conducted in this paper: Does a correlation exist between player salary and fan attendance rate? The contents of this paper will contrast and analyze data from the “Major League Baseball Data Set” available from University of Phoenix e-source (University of Phoenix, 2007). The five-step process of hypothesis testing will be used and will facilitate a two tail test using ratio numerical data. A description of the process will be provided with an explanation of the Teams findings pertaining to the hypothesis testing results and their role in proving or disproving the answer to the Teams research question. Raw data tables and the computations to the team’s t-test will also be provided in tabular and graphical formats in order to display data and its results. Numerical and Verbal Hypothesis Statement
Our Team is interested in the notion that Major League Baseball salary could influence fan attendance rate. With this notion as the root for our research the following hypothesis is derived, does a correlation exist between Major League Baseball Player salary and fan attendance? Therefore the null hypothesis states that higher salaries do not correlate to higher fan attendance ratio and no significant correlation exists between higher salaries and attendance. The alternative hypothesis states that higher salaries do correlate to...
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