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Sample errors are given as standard deviation (SD) and standard error of the mean (SEM).
In particular, sample errors are a significant problem, with an estimated mean of 24% of false negatives being reported in series of blind liver biopsies.
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A list of 14 sample errors was decided by the study team, including study error type and severity, according to the criteria in table 2 utilised for analysis of the main study.
Once CI and sample error are selected, it is straightforward to calculate the minimum number of frames needed, working out, (B.5).
Therefore, once the CI is computed, (B.4). the sample error is defined by.
The margin sample error was approximately plus or minus 3percentt for the sample.
Table 2 shows the averaged parameters over ten spectra for each sample (references and sculpture samples); errors were calculated taking into account the fitting errors and the statistical deviation over ten measurements.
This assumption, together with the distribution of sampling errors, is used to indicate how close the average observed correlation is likely to be to the "true" correlation.
Margins of sampling error are plus or minus three to five percentage points.
The margins of sampling error are plus or minus three percentage points for all voters, plus or minus seven points for Catholics, and plus or minus six points for white evangelical Christians.
We found 5 sample tracking errors in 229 samples; sample tracking errors are expected when large numbers of samples are manually handled [ 21, 22].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com