Definition of Sample. Meaning of Sample. Synonyms of Sample
Here you will find one or more explanations in English for the word Sample. Also in the bottom left of the page several parts of wikipedia pages related to the word Sample and, of course, Sample synonyms and on the right images related to the word Sample.
Definition of Sample
SampleSample Sam"ple, n. [OE. sample, asaumple, OF. essample,
example, fr. L. exemplum. See Example, and cf. Ensample,
1. Example; pattern. [Obs.] --Spenser. ``A sample to the
Thus he concludes, and every hardy knight His sample
2. A part of anything presented for inspection, or shown as
evidence of the quality of the whole; a specimen; as,
goods are often purchased by samples.
I design this but for a sample of what I hope more
fully to discuss. --Woodward.
Syn: Specimen; example. See Specimen.
Sample Sam"ple, v. t.
1. To make or show something similar to; to match. --Bp.
2. To take or to test a sample or samples of; as, to sample
sugar, teas, wools, cloths.
Meaning of Sample from wikipedia
(statistics), a subset
of a po****tion Sample
(signal), a digital discrete sample
of a continuous analog
(signal processing), converting
a continuous signal
into a discrete signal Sampling
- the investment. When only a sample
of data from a po****tion is available, the term standard deviation
of the sample
or sample standard deviation
****urance, and survey
is the selection
of a subset
(a statistical sample
) of individuals
- from the ****umptions. Two-sample
t-tests for a difference
in mean involve independent samples
) or paired samples
t-tests are a form...
- a data sample
is a set of data collected
and the world selected
from a statistical
po****tion by a defined
procedure. The elements
of a sample
of fit, and Monte Carlo sampling
is an important
tool in the sciences, where statistical
as grab sampling
, accidental sampling
, or opportunity sampling
) is a type of non-probability sampling
is the act of choosing
in a statistical sample
. The sample
size is an important...
- measure) to sample
estimates. This technique allows estimation
of the sampling distribution
any statistic using random sampling
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