| 释义 |
Definition of sampling error in English: sampling errornoun mass nounStatistics Error in a statistical analysis arising from the unrepresentativeness of the sample taken. a percentage of the total variation is attributable to sampling error Example sentencesExamples - In addition to these caveats, sampling error due to analysis of an inadequate sample volume can also lead to a false-negative test result.
- This is because the statistical sampling error of the phase is inversely related to the squared coherence.
- A search for moderators was pursued only if less than 60% of the variation of observed coefficients could be explained by a combination of sampling error and measurement error.
- As with other statistical techniques, sampling errors can affect the parameters of the data spectrum, which are just estimates of true but unknown population data.
- As we assumed excess variability to be due to both sampling error and random differences across studies, we fitted the data to a random effects model, which provides more conservative estimates than a fixed effects model.
Definition of sampling error in US English: sampling errornounˈsæmp(ə)lɪŋ ˈɛrər Statistics Error in a statistical analysis arising from the unrepresentativeness of the sample taken. a percentage of the total variation is attributable to sampling error Example sentencesExamples - This is because the statistical sampling error of the phase is inversely related to the squared coherence.
- In addition to these caveats, sampling error due to analysis of an inadequate sample volume can also lead to a false-negative test result.
- A search for moderators was pursued only if less than 60% of the variation of observed coefficients could be explained by a combination of sampling error and measurement error.
- As with other statistical techniques, sampling errors can affect the parameters of the data spectrum, which are just estimates of true but unknown population data.
- As we assumed excess variability to be due to both sampling error and random differences across studies, we fitted the data to a random effects model, which provides more conservative estimates than a fixed effects model.
|