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The flip side of this is why we can find correlations between otherwise unrelated variables by conditioning on an effect (looking only at cases when it occurs). For instance, if having a high SAT score and participating in many extracurricular activities leads to acceptance at a highly ranked university, data only from such universities will show a correlation between a high SAT score and many extracurricular activities, as more often than not these will happen together in that population. info CORRELATION | 45 Figure 3-5.

Info | 3 Correlation Why are so many causal statements wrong? 1 While millions of Americans suffer from this disease, which is characterized by severe long-lasting fatigue, its cause is unknown, hampering efforts to prevent and treat it. 2 Yet in addition to the competing causal explanations, simply diagnosing the illness is difficult, as there is no single biomarker that would allow a definitive laboratory test. 3 So when that group of researchers, led by Dr. 7% of the 218 control subjects did, people took notice.

Figure 3-2. Without variation in both variables, we cannot find a correlation. Yet, looking only at what led to one outcome is pervasive. Just think of how often people ask winners how they got where they are and try to replicate their success by doing as they do. 12 As a result, we not only confuse factors that merely co-occurred with the outcome of interest for those that are responsible for the outcome, but find seeming correlations where none exist. For instance, people have asked whether musical education is correlated with professional success in other fields.

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Additional Lines in the K Series of Molybdenum and the Natural Breadth of Spectral Lines by Davis B., Purks H.

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