basicstatsF11sports

basicstatsF11sports - StepsinWritinganAcademicArticle 1. 2....

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Steps in Writing an Academic Article 1. Introduction (tell cute story) 2. Literature Review 3. Describe Data 4. Create model: 1. Identify dependent variable 2. Identify independent variables 3. State hypothesis 4. Estimate model
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Data Summary and Description Population Parameters – Summary and  descriptive measures for the population. Sample Statistics – Summary and  descriptive measures for a sample. NOTE: We rarely have data for the  population.  Hence we need to be able to  draw inferences from a sample.
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Measures of Central Tendency Mean – The average Issue: You must note the distribution of the  sample.  If it is unbalanced the mean may be  misleading. Median – “Middle” observation
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Symmetrical vs. Skewness Symmetrical – A balanced distribution.  Median = Mean Skewness – A lack of balance.  Skewed to the left: Median > Mean Skewed to the right: Median < Mean Again, if the data is skewed, the average  will be misleading.
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Measures of Dispersion Range – Difference between the largest  (maximum) and smallest (minimum)  sample observations. Only considers the extremes of the sample Variance and Standard Deviation Sample Variance – Average squared deviation  from the sample mean.  Sample Standard Deviation – Squared root of  the sample variance. NOTE:  These are used when we discuss  competitive balance in sports.
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Hypothesis Testing Hypothesis Testing – Statistical  experiment used to measure the  reasonableness of a given theory or  premise NOTE: WE DO NOT “PROVE” A THEORY Type I Error – Incorrect rejection of a  ‘true’ hypothesis. Type II Error – Failure to reject a  ‘false’ hypothesis.
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Regression Analysis Definitions Regression analysis – statistical method for  describing the relationship between a  dependent variable Y and independent  variable(s) X. Deterministic Relation = An identity
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basicstatsF11sports - StepsinWritinganAcademicArticle 1. 2....

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