Sentence examples for between sample and population from inspiring English sources

We leave those tests, which will also depend on the differences between sample and population autocovariances of (f_{t}), for future research.

In analyzing such surveys, it is important to be aware of the complexity of the sampling design and the data adjustments that are used by survey organizations, including weighting to adjust for differences between sample and population and imputation to fill in missing responses.

Nevertheless, we observed no statistical and relevant differences between sample and population, including religious affiliation, as far as the surveyed characteristics are concerned.

The majority of women were multiparous (54.4%), had completed secondary school (90.3%), resided in a city (64.0%), were born in Australia (80.4%) and did not identify as Aboriginal or Torres Strait Islander 98.44%) (see Table  2).> -wrap-foot> Difference between sample and population.

However, outside of these societies, the divergence between samples and population descriptors is also problematic.

Now in the pure mathematics of the relations between samples and populations, Jacob Bernoulli had in the 18th century established the remarkable fact that, for populations of any large size whatever (say above 2500), the vast majority of samples of 2500 or more closely match in complexion the population from which they are drawn.

This will include not just Bayes' theorem but a range of information pertaining to the collection and characterization of the data, including information about how to sample the world, how and what to store, what conditions to consider reliable, relations between samples and populations, etc.

The use of reference sequences that originate from the study sample itself can reduce the potential mismatch of ancestral backgrounds between sample and reference populations, decreasing imputation errors.

The second attribute, which differed between implementation sample and population, was the prognostic stage (UICC; Figure 3).

Therefore, a classical test of difference (e.g. log rank) between the observed sample and population data could not be carried out.

Table 3 shows the women's BMI in comparison to the population norms for Australian women and suggests that there was no statistically significant difference between the study sample and population in relation to BMI.