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The database is a big improvement on what has come before: not only does it look at people of all ages but the sample size is large.
It is close to when the sample size is large.
However, small biases remain in the prediction residuals even when the sample size is large enough.
Also, despite the fact that his company could benefit from more sites adopting social, the sample size is large enough to decrease the likelihood of bias.
The estimator of MAD is biased for both rare and common land-cover classes except when sample size is large.
This is because negligible bias is introduced in robust estimates of the regression coefficients when sample size is large.
Many of the sets of data encountered by engineers are means, so the normal distribution applies to them if the sample size is large enough.
Estimates of the arithmetic mean lead concentration are not particularly precise unless the sample size is large.
Furthermore, when the sample size is large enough, there is no difference between the results from the volume-based and the population-based samples.
The results of our Bayesian analysis suggest that copy number variation can be a major contributor to HWD, when sample size is large and genotyping error is small.
The sample size is large.
More suggestions(15)
sample size is significant
sample size is huge
sample means is large
sample group is large
sample size ensures large
sample probability is large
sample number is large
sample size is equivalent
sample size is acceptable
sample size is much
sample size is small
sample size is modest
sample size is miniscule
sample size is low
sample size becomes large
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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