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First of all, the sample size remains small.
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This shows that the bias for all sample size and skewness under 0.1 (log normal) remains small but then increases to level which may not be acceptable.
In the end, only sample size n remains unknown.
Our sample size was relatively small to detect small effects.
There remains the outstanding question of finding an efficient procedure, especially when the sample size is small and the interest lies in the extreme percentiles.
It remains possible that the observed bias in this study is a consequence of the relatively small total sample size or the small number of older patients in the sample.
Despite sample sizes being small, this absence remains intriguing, particularly since reduncins are recorded from relatively similar faunas and paleoenvironments at Toros-Menalla and Sahabi, being particularly abundant at the former site [18], [61].
For one thing, the sample size is small.
To be sure, the sample size is small.
The sample size was small, but the numbers supported him.
With a sample size that small, it's hard to tell whether this means anything.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com