sampling variability

However, there was high sampling variability in the under-4 year age category.

Both of these estimates are subject to moderate sampling variability, however (Table 6-7).

Only 5% (moderate sampling variability) of students with no school rules are current smokers.

The full sample rates are used in Table 3 since they are subject to less sampling variability.

Sampling variability precludes interpretation of the pattern for 10- to 14-year-olds.

Very few (7% moderate sampling variability, use with caution) said they would be smoking more.

The main drawback of using a sample is that the estimates are subject to sampling variability.

This prevalence rate should be interpreted with caution due to high sampling variability.

These counts were flagged to be used with caution because of sampling variability.

Due to the sampling variability no conclusions could be drawn regarding heroin use in the last 12 months for 2004.

She noted there were large sampling variabilities and urged analysts to wait for additional data.

Measures of sampling variability, presented as relative standard errors, are shown in the tables.

For reasons of sampling variability, questionnaire design, methodology, and so on, estimates from the two sources will differ.

Random error is the result of fluctuations around a true value because of sampling variability.

Estimate less reliable due to high sampling variability.

The sampling variability once you get down to the regions of the UK is about three times bigger than for the whole country.

A false H0 could have been missed because of a low-power experiment, caused by small sample size or large sampling variability.

Records created during the administration of a program provide census type coverage; thus, the information is not affected by statistical errors such as sampling variability.

Not available due to extreme sampling variability.

A higher percentage of smokers can name these events, at all age groups except for the youngest where high sampling variability makes the data unpublishable.

There is no sampling variability attributed to the statistic because it is calculated using data from the entire population.

Because of sampling variability, income data for areas with a non-institutional population of less than 250 have been suppressed.

Sampling variability of macrozooplankton was significantly greater than that of ichthyoplankton.

The symbol "(m)" on graphs indicates that high sampling variability was associated with the reported estimate.

Furthermore, small changes in either direction should be interpreted with caution as they may reflect sampling variability rather than true changes.