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the selection of part of a total population of consumers or products whose behaviour or performance can be analysed, in order to make inferences about the behaviour or performance of the total population, without the difficulty and expense of undertaking a complete census of the whole population.

Samples may be chosen randomly, with every consumer or product in the population having an equal chance of being included. Random samples are most commonly used by firms in QUALITY CONTROL where they are used as a basis for selecting products, components or materials for quality testing.

Alternatively, samples may be chosen by dividing up the total population into a number of distinct sub-groups or strata, then selecting a proportionate number of consumers or products from each sub-group since this is quicker and cheaper than random sampling. In MARKETING RESEARCH and opinion polling, quota sampling is usually employed where interviewers select the particular consumers to be interviewed, choosing the numbers of these consumers in proportion to their occurrence in the total population.

Samples may be:

  1. cross-sectional, where sample observations are collected at a particular point in time, for example data on company sales and the incomes of consumers in the current year, embracing a wide range of different income groups, as a basis for investigating the relationship between sales and income;
  2. longitudinal, where sample observations are collected over a number of time periods, for example data on changes in company sales over a number of years and changes in consumer incomes over the same time periods, as a basis for investigating the relationship between sales and income. See STATISTICAL INFERENCES, QUESTIONNAIRE.
Collins Dictionary of Business, 3rd ed. © 2002, 2005 C Pass, B Lowes, A Pendleton, L Chadwick, D O’Reilly and M Afferson
References in periodicals archive ?
For example, if there are four distinct intercepts and two distinct slopes, the model naturally segments the sampling frame into 4 x 2 = 8 clusters defined by the slope/intercept combination.
Coverage Coverage issues, either CCHS uses this Target population due to over-or under- operational definition Sampling frame coverage, may result in for non-eligible estimates inferring to individuals: "Excluded a different population from these surveys' than the one targeted.
Generating the sampling frame using Google Earth and QGIS took about two weeks as the process and software were new to the investigators.
These 39 counties will now be labeled as the suburban fringe sampling frame (see Table 2).
In addition to the amount of coverage generated by a particular species in a sampling frame, the question of the total amount of plant coverage per sampling frame is equally important since it indicates how much soil substrate is exposed to the elements.
However, to facilitate future decision making about the use of these data, we estimated the upper limits of the potential contribution of VA-Medicare data to our sampling frame by imputing from the 2003 VA Information Resource Center (VIReC) VA-Medicare data merge report [14].
As discussed previously, migrant households are poorly represented in the sampling frame of existing household surveys in Thailand.
Occasionally, a sampling frame must be constructed by the auditor because no convenient representation exists.
This approach thus has a clearly defined sampling frame. We are currently testing this approach on a representative population of French women 18-45 years of age.
However, we cannot attribute these differences to the sampling frame.
Initially, young people were chosen to reflect those at high risk in Pennsylvania on the basis of a sampling frame derived from the state's AIDS epidemiological data.
The sampling frame and the CES sample are updated twice a year with new quarters of UI-based universe data.