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The choice for sampling size of 10000 from the random distribution is to have a sampling precision of 95% confidence within 1% of error, according to the sampling theorem [ 29].
20 The two surveys are not directly comparable, due to differences in the target population, sampling, size of sample and age group.
Although the effectiveness of sampling techniques influences which are used, other factors that determine the choice of sampling techniques include the site of sampling, size of the surface to be sampled, character of the surface (porous or nonporous), need to quantify the results, and preference and specialization of the laboratory where the test is done.
A sampling size of 100 per regression coefficient is determined from the variation of sensitivity coefficients, coefficients of determination and prediction uncertainties.
Under each sampling size of each sampling strategy, the relative errors (REs) and coefficients of variation (CVs) of the estimated hillslope mean SWC and correlation coefficients between the SWC and soil/terrain properties were calculated to quantify the accuracy and uncertainty.
A sampling size of 100,000 is rather minimal for covering the first quarter of the transcriptome.
Similar(29)
We have a sample size of one.
A minimum sample size of n > 5 was used.
The sample size of respondents was 1000.
The poll had a sample size of 1,600 and a margin of error of 2.8%.
The sample size of 689,003 is truly huge – possibly the largest in the history of psychology.
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