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sample

 
1. a representative part taken to typify the whole.
2. a subset of a population that is selected for inclusion in a research study.

sam·ple

(sam'pĕl),
1. A specimen of a whole entity small enough to involve no threat or damage to the whole; an aliquot.
2. A selected subset of a population; a sample may be random or nonrandom (haphazard), representative or nonrepresentative.
[M.E. ensample, fr. L. exemplum, example]

sample

Etymology: L, exemplum
(in research) a group or part of the whole that can be used to demonstrate characteristics of the whole. Kinds of samples include cluster, convenience, random, and stratified.

sam·ple

(sam'pĕl)
1. A specimen of a whole entity small enough to involve no threat or damage to the whole; an aliquot.
2. A selected subset of a population; a sample may be random (haphazard) or nonrandom, representative or nonrepresentative.
3. A piece or portion of a whole that will demonstrate the characteristics or qualities of that whole.
[M.E. ensample, fr. L. exemplum, example]

sample

any portion of a whole, such as a small part of a population, collected for examination.

sampling 

The selection of a group of subjects from a population. This is usually done for the purpose of experimentation. The part of the population selected is called the sample: it is usually considered to be representative of a given population. A good sample must be random, i.e. every possible member of that population has an equal chance of being selected. Otherwise, it is said to be biased. Sampling can extend either across geographical areas (spatial sampling) or over a period of time (temporal sampling).

sam·ple

(sam'pĕl)
1. Specimen of a whole entity small enough to involve no threat or damage to the whole; an aliquot.
2. Selected subset of a population; may be random or nonrandom (haphazard), representative or nonrepresentative.
[M.E. ensample, fr. L. exemplum, example]

sample,

n a selected part of a population that is taken to be representative of the whole population.
sample, random,
n a sample drawn by chance; a sample drawn in such a way that every item in the population has an equal and independent chance of being included in the sample.
sample, stratified,
n a sample derived by dividing the population into a number of nonoverlapping classes or categories from which cases are selected at random, the number of cases selected from each category being proportional to the number therein.

sample

1. a specimen of fluid, blood or tissue collected for analysis on the assumption that it represents the composition of the whole.
2. for statistical purposes a small collection of individual units taken from the population which is under investigation on the assumption that they represent the characteristics of the entire population.

EPSEM sample
acronym for 'equal opportunity of selection method'.
grab sample
sample of greasy wool taken at random by a special machine from each bale on the sale floor. Buyers price the bale on the basis of the appearance of the grab sample and the objective measurements.
multi-stage random sample
with very large populations it may be desirable to arrange the data into groups on one criterion, e.g. address by area of postcode, and to select randomly from within this group, then select from within this sample to obtain randomly a representative number of specimens, such as dogs of each age group.
random sample
the selection from a population of the units which are to constitute the sample of that population is made in such a way that each unit of the population has an equal chance of being selected. Called also simple random sample.
simple random sample
see random sample (above).
stratified random sample
the data is arranged into subsets or strata based on the possession of certain characteristics which are common to the members of the subset. The selection of units to comprise the sample of the parent population is arranged so that the proportional representation of each subset in the final sample fits a prearranged schedule.
volunteer sample
sample donated by interested parties; a biased sample because it does not represent all sections of the population. Called also self-selection.
References in periodicals archive ?
With available technologies and methods, each site would be capable of analyzing up to 10,000 samples per year, a substantial improvement over current capabilities.
The clamping assembly (frame) mechanism allows shear and tension samples to be mounted into the clamps outside the instrument, which provides reproducible sample preparation and accurate sample thickness measurements.
GV-positive samples were obtained on the same day, although they were obtained from different locations, i.
Great care should be taken to preheat the sample cup adequately, collect the sample from a clean surface without agitation, transport it to the vacuum tester with minimum loss in temperature and use an insulated pad under the sample cup.
Samples with shape factors that are too low are unstable and can buckle.
Furthermore, our laboratory is certified to analyze human biological samples according to the Clinical Laboratory Improvement Amendment (1988), which requires extensive quality control and assurance, semiannual blinded proficiency testing, continued verification and documentation of operational parameters, and recertification every 2 years.
In quantitative research, sample size and sampling considerations usually are made with the goal of making statistical generalizations, which involve generalizing findings and inferences from a representative statistical sample to the population from which the sample was drawn.
Furthermore, we extended our simulation program to the Schrodinger wave-packet approach [7,8,9] with the coherent superpositions over the packet wavelength width and the transverse angular divergence of the incident neutrons to the samples.
Judgment samples are those that are not randomly selected from the entire population of interest.
Brick, cinder block, fiberglass, and gypsum board most likely would be involved, and investigators should take representative samples of each material.
The key elements examined in a given situation include the cost of analyzing the volumes of data available, the cost of analyzing the sample, and the availability of any other records that have a greater probative value.
Recently, a question on the Marketing Listserv hosted by the Newsletter & Electronic Publishers Association sparked a spirited discussion of sample issue direct mail packages.