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A sample in statistics is a small data set that you obtain from a larger set of data to represent a whole, for example, the entire population. Using samples is common among statisticians because it makes it easier to gather and analyse information.
In sound and music, sampling is the reuse of a portion (or sample) of a sound recording in another recording. Samples may comprise elements such as rhythm, melody, speech, or sound effects. A sample might comprise only a fragment of sound, or a longer portion of music, such as a drum beat or melody.
Some common synonyms of sample are case, example, illustration, instance, and specimen. While all these words mean something that exhibits distinguishing characteristics in its category, sample implies a part or unit taken at random from a larger whole and so presumed to be typical of its qualities.
Product sampling is a powerful marketing practice where businesses offer their goods or services to the audience for free, aiming to boost brand awareness, loyalty, generate reviews, gather feedback, and obtain other user-generated content that can enhance revenue.
Former teacher, Kim Booker often recalled fond memories of Bieber as her student, and is featured in several interviews. He attended Stratfords St. Michael Catholic Secondary School, and graduated in 2012 with a 4.0 GPA.
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Sampling is a statistical technique for efficiently analyzing large datasets by selecting a representative subset. Rather than analyzing an entire dataset, sampling analyzes a small portion so researchers can make conclusions about a larger population.
1. : a representative part or a single item from a larger whole or group especially when presented for inspection or shown as evidence of quality : specimen. a blood sample. 2. : a finite part of a statistical population whose properties are studied to gain information about the whole.
Methods of sampling from a population Simple random sampling. In this case each individual is chosen entirely by chance and each member of the population has an equal chance, or probability, of being selected. Systematic sampling. Stratified sampling. Clustered sampling.

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