Supposethesampledatadistributionof {yi} = {y1, ...,yn} is veryhighlyskewedtothe right,andwetakelogsandanalyze {xi = log(yi)}. (a) Is x = log(y)? Whyorwhynot?
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Supposethesampledatadistributionof {yi} = {y1, ...,yn} is veryhighlyskewedtothe right,andwetakelogsandanalyze {xi = log(yi)}.
(a) Is ¯x = log(¯y)? Whyorwhynot?
(b) Ismedian({xi}) = log[median({yi})]? Whyorwhynot?
(c) Tosummarize {yi}, wefind ¯x and thenuse exp(¯x). Showthat exp(¯x) = (Πi yi)1~n, called the geometricmean of {yi}.
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Related Book For
Foundations Of Statistics For Data Scientists With R And Python
ISBN: 9780367748456
1st Edition
Authors: Alan Agresti
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