Guest guest Posted January 8, 2011 Report Share Posted January 8, 2011 Respected members, Analyzing the graphs: The size of the effect shown should be equal the size of the effect in the dataIs only a small percentage of the possible event rate displayed? Tufte’s Lie Factor: Size of effect shown in graphic Size of effect in data Tufte’s lie factor (The Visual Display of Quantitative information. Graphics Press, 2001. Cheshire, CT) is the ratio of the size of effect shown in graphic to the size of effect in the data. Anything > 1.05 or < .95 is considered to represent “significant distortion†of the data. I am providing a example of Tufte’s Lie Factor. In the 1st image you can see that the baseline doesnot start from zero, thus giving misinterpretation that Obama is receiving only 1/3rd of votes as compared to Clinton. However when we see the 2nd image with the same data which starts from zero shows that Obama receives only 13% less votes as compared to Clinton. Regards Dr Sanjay Yallappa Choudhari JR3,Dept of Pharmacology GMC, Nagpur 2 of 2 Photo(s) Img 2.gif Quote Link to comment Share on other sites More sharing options...
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