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Statistics are improbable
| The first 150 words of the full text of this article appear below. |
EDITOR
Although this paper by Pawlikowska et al is nearly six years
old, I read it only two months ago.1 I am surprised that
there seem to be no letters or articles referring to it to point out
that the analysis is flawed.
The authors report results from a general health questionnaire on a scale of 0 to 36. They provide a histogram for the distribution, which has a mean close to 14. The authors quote the mean scores for men and women as 24.7 and 26.2 respectively. They give confidence intervals for these means and for the difference between them. These means are both above the 90th centile of the distribution of general health questionnaire score that they show. They are clearly impossible.
Their fatigue score is also shown as a histogram. Possible values for
observations are between 0 and 33, and the mean is also about 14. The
means for men and women are quoted
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