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Tuesday, September 24, 2013

Descriptive Statistics

Descriptive Statistics PaperWhat is the best way to placard our entropy on the 2005 major League Baseball Statistics? We dumbfound several shipway to aegir the important propensity of our entropy. We throne pull choke all the data add it up and take the arithmetic misbegotten or the number. We can hold the around revenant number in the set and use it to find the mode. We can also take the data and clubhouse it from lowest to richlyest to find the number in the middle or the median as another measure of the central tendency. 2005 MLB Data; aggroup requital (in megs) Blue and Team Wins RedIf utilise the mean to measure a central tendency of our data we extrapolate an average aggroup requital of 73 million that produced 81 wins. The problem with using the mean is we learn outliers that produce a higher average salary per team, wherein, examining most of the teams? salaries from 67 million to 100 million the outlier that will demand the central tendency is th e New York Yankees. An outlier is delimitate as a value less than Q1-1.5H or great than Q1+1.5H, and an entire outlier has a value less than Q1-3.0H or greater than Q1+3.0H.
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Their team salary is 208 million dollars which is well above the 73 million average team salary and lying external the interquartile range and cold enough from the 75th percentile to destine as an extreme outlier. The histogram of the salaries variables with all MLB teams included is skewed responsibility and again because of the tempt of the New York Yankees team salary. To measure the wins the central tendency of the mean would be a better repres entation. The data does not have any outlier! s that would skew the average to the high side or low side. Another... If you want to get a full essay, order it on our website: OrderCustomPaper.com

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