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  2. Sampling (statistics) - Wikipedia

    en.wikipedia.org/wiki/Sampling_(statistics)

    Sampling (statistics) In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole population and statisticians ...

  3. Snowball sampling - Wikipedia

    en.wikipedia.org/wiki/Snowball_sampling

    Snowball sampling. In sociology and statistics research, snowball sampling[1] (or chain sampling, chain-referral sampling, referral sampling[2][3]) is a nonprobability sampling technique where existing study subjects recruit future subjects from among their acquaintances. Thus the sample group is said to grow like a rolling snowball.

  4. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. Usually a big sample of data is collected – this would require verification, validation and recording before the analysis can take place. Software packages such as SPSS and R are typically used for this purpose. Causal ...

  5. Handwriting exemplar - Wikipedia

    en.wikipedia.org/wiki/Handwriting_exemplar

    Handwriting exemplars are used by a document examiner to determine the writing habits of an individual. Ideally, the exemplars will provide an adequate picture of the writer's habits such that a meaningful comparison can be conducted with the questioned material. There are two types of handwriting exemplars that may be used; request writings ...

  6. Sample complexity - Wikipedia

    en.wikipedia.org/wiki/Sample_complexity

    Contents. Sample complexity. The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function. More precisely, the sample complexity is the number of training-samples that we need to supply to the algorithm, so that the function returned by the ...

  7. Survey sampling - Wikipedia

    en.wikipedia.org/wiki/Survey_sampling

    The purpose of sampling is to reduce the cost and/or the amount of work that it would take to survey the entire target population. A survey that measures the entire target population is called a census. A sample refers to a group or section of a population from which information is to be obtained. Survey samples can be broadly divided into two ...

  8. Focus (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Focus_(linguistics)

    e. In linguistics, focus (abbreviated FOC) is a grammatical category that conveys which part of the sentence contributes new, non-derivable, or contrastive information. In the English sentence "Mary only insulted BILL", focus is expressed prosodically by a pitch accent on "Bill" which identifies him as the only person whom Mary insulted.

  9. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined ...

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