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Sections: Quartiles, boxes, and whiskers, Five-number summary, Interquartile ranges and outliers ... More terminology: The top end of your box may also be called the "upper hinge"; the lower end may also be called the "lower hinge". The lower hinge is also called "the ... finding the median: (82 + 87) ÷ 2 = 84.5 = Q2...
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www.purplemath.com/modules/boxwhisk2.htm
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Date: 09/11/2001 at 07:46:20 From: Stu Subject: Spotting outliers Can you help me? ... number of data points Qcrit 3 0.94 4 0.76 5 0.64 6 0.56 7 0.51 8 0.47 9 0.44 10 0.41 If you want more information on these and possibly other outlier- finding techniques, you can search the Dr. Math archives using the keyword outlier and I...
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mathforum.org/library/drmath/view/52720.html
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IQR and Finding. Outliers. Warmup. Find the five number summary ... IQR and Finding Outliers. The following is the list of Barry Bonds' home run totals for ...
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www.cycleconsulting.com/lwiersma/Pdfs/PS11.pdf
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6. Finding Outliers - the Synthesised Data Set ... The results are shown in figures 15 and 16. Clearly, these do not show any obvious outliers. It is possible that the problem here is that, due to the nature of this particular data set, there are no linear projections that are able to identify the point at the origin.
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www.agocg.ac.uk/reports/visual/casestud/brunsdon/outlie...
www.agocg.ac.uk/reports/visual/casestud/brunsdon/outliers.htm
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Finding “outliers” or exceptions can be useful to detect credit card fraud, telephone calling card fraud, analysis of performance statistic of professional athletes, exploration of satellite and medical images and many more where the Therefore, the outliers may point out surprising and suspicious activities,
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www.cs.unb.ca/~sarker/outlier.htm
www.cs.unb.ca/~sarker/outlier.htm
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For example, outliers can adversely a#ect fits. In other cases involving spatial data, a cluster may exist for which the model is incorrect, also adversely a#ecting the fit to the "good" data. In both cases, estimate residuals must be checked and rechecked until the ... Finding Outliers in Models of Spatial Data (2003)
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citeseer.ist.psu.edu/720491.html
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D. Yu, G. Sheikholeslami and A. Zhang, Findout: Finding outliers in very large datasets, in: De?artment of Computer Science and Engineering State University of New York at Buffalo Buffalo, Technical report 99-03, http://www. cse.buffalo.ed u/tech-rep orts/, 1999.
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citeseer.ist.psu.edu/context/1403627/230290
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Home | Example Publications ... Generated by D2R Server ... rdfs:label Finding Outliers in Models of Spatial Data. (xsd:string)
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dblp.l3s.de/d2r/resource/publications/conf/dgo/ScottC03
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Bergmark, Donna; Crovella, Mark...
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ecommons.library.cornell.edu/handle/1813/5482
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