correlation coefficients

The May issue of IRW is out a bit delayed since I was pressed to beat other deadlines. The abstracts follows:

“Soon or later, those conducting information retrieval or data mining studies will need to use correlation coefficients to assess how variables from data sets are correlated. In a recent blog post we warned readers about search engine marketing statistical studies that claim to find correlations between PageRank and conveniently selected variables, or that try to compare correlation coefficients derived from different Web tools or datasets
(https://irthoughts.wordpress.com/2010/04/23/beware-of-seo-statistical-studies/ ).

Unfortunately, correlation coefficients are frequently misused and abused. What drives an analyst to make incorrect inferences about correlation? In general, most correlation coefficient myths derive from not realizing that independence, uncorrelation, and unrelatedness are not equivalent terms. In this issue of the newsletter we list 21 of the most common myths about correlation coefficients that can put into question the credibility of a statistical study and its proponents. “

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