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In our applications, independently from the sample size, we assumed that the sampling distribution of the sample mean ( overline{X} ) is approximately normally distributed.
Among the potential statistical drawbacks derived from the sample size are the increase in sampling error, instability, and reduced reliability of factor analysis solutions [ 46].
Sample sizes of some variables diverge from the sample size of n = 2,762 because of non-responses on that particular variable.
The value 25 comes from the sample size (5×5), and 11 is the amount of retained eigenvectors (seven edges and four non-edges).
In these cases, means and standard deviations were estimated from the sample size, median, range or 25th and 75th percentiles, according to the Wan method [19].
Evidently, from the sample size of my query, this is a dream many people with my profession have.
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For comparison, the RMSD of 0.004 is similar to the RMSD resulting from increasing the sample size from 142 to 152 in simple binomial sampling (when p = 0.98).
The bulk of this drop does not come from controlling for income, but rather from restricting the sample size.
As the scores were calculated from percentages, the sample size information was not fully utilized in TSP and k-TSP.
The publication year varied from 1986 to 2013, and the sample size, from 6 to 189.
These issues of precision follow directly from the sample sizes available to us combined with our reliance on semi-parametric and non-parametric estimation strategies.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com