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Keywords:
Inferred,
Population,
Undercount,
Random,
Subset
The technique of randomly acquiring a small percentage of data from a source. The technique is based on the theory that analyzing a statistically significant sample of a data set will reveal the same or close to the same information as analyzing the complete data set would. This is often used in lieu of extracting reviewing every row of data element in a file where the data volume is very large.
the selection of units of analysis (for example, people or institutions) for study. Sampling can involve attempts to statistically represent a population, in which case a variety of random or probability methods are available. Alternatively, sampling can be opportunistic, or formed by emerging theoretical concerns of a researcher.
When investigating social phenomena, the most accurate answer to any question would be found by questioning every member of the population. Surveying an entire population is usually too time-consuming or costly, but inferences can be made about the population by surveying a sample of the population. Sampling methods can be divided into two major categories: "probabilistic" and "non-probabilistic"
The testing of reactions in a small group of people, used to represent the attitudes of a much larger population.
The method of selecting a subgroup of consumers to participate in a study.
The use of a predetermined, finite number of observations to project the characteristics of a larger population.
Sampling looks at a subpopulation of a group in order to have knowledge about the whole group. If sampling is done properly, one has this knowledge with a known degree of probability. Sampling procedures include random sampling, stratified sampling, and cluster sampling. See the Tool Kits on this web site for specific instructions on these sampling procedures.
The process of drawing a sample of subjects from a population.
A method of obtaining statistics from a large body of data without resorting to a complete census. Two broad methods of selecting samples are probability sampling (in which sample units are selected according to the law of chance) and nonprobability sampling (in which personal choice, expert judgement, or some other nonprobabilistic rationale is used to select sample units).
The selection of a small but representative part of an ore body or process material for analysis.
the collection of representative specimens analyzed to characterize site conditions
A way to obtain information about a large group by examining a smaller, randomly chosen selection (the sample) of group members. If the sampling is conducted correctly, the results will be representative of the group as a whole. Sampling also may refer to the choice of smaller tasks or processes that will be valid for making inferences about the student's performance in a larger domain. "Matrix sampling" asks different groups to take small segments of a test; the results will reflect the ability of the larger group on a complete range of tasks.
selecting representative units from a total population (180)
the process of taking a small part of something to identify it and provide information about the whole.
the process of obtaining representative samples and/or measurements of a subset of a population.
Sampling - sampling is the main function of an MCMC run. An MCMC analysis generates a series of samples from the posterior distribution. These samples are correlated because each sample is generated by a small perturbation of the previous sample. The ESS of the MCMC chain is an estimate of the number of independent samples that an MCMC represents.
(statistics) the selection of a suitable sample for study
items selected at random from a population and used to test hypotheses about the population
a smaller representation of a larger whole called a "universe
The process of selecting subjects for research. See random sampling, availability sampling.
The selection of persons to be studied in a research project.
Scientists learn what chemicals are present in our environment by taking representative samples under carefully controlled conditions. These samples are then analyzed in laboratories.
Technique or method that measures part of a population to estimate the total population. Sampling was proposed as a remedy for the undercount.
The process of attaining a random and representative specified volume of an aggregate for testing.
A statistical technique used to estimate the whole population based on a sample. Proposed as a remedy for the undercount.
The technique. by which the individuals are selected from the sample frame for contact in the survey – See Random, Quota.
Selecting, usually at random, a number of individuals who are believed to be representative of the whole group that we are interested in.
Technique or method that measures part of a population to determine the full number.
When the entire population is too large for the researcher to attempt to survey all of its members, a sample must be drawn. Sampling is the process by which a small, but carefully chosen sample can be used to represent the population. This sample should reflect the characteristics of the population from which it is drawn.
Collection of a small part of an entity and drawing conclusions about the whole. In water quality considerations, sampling consists of collecting a representative part of a water body for testing from which conclusions can be drawn about the water body as a whole.
Sampling is a plan, design, or procedure that specifies how the participants are to be selected from the population.
The process of determining the best color combinations that represent an original image or desired effect.
The technique of selecting a representative part of a population for the purpose of determining parameters or characteristic s of the whole population. A small part selected as a sample for inspection or analysis. [D02999] Webster
The collection of data from just part of a population, often with the purpose of making inferences about the whole population from the sample results – e.g. the five yearly Australian National Health Survey. Some national censuses include a sampling component.
The sample is the portion of a population examined in your study. If the population is divided into sub-groups then it is important to have the correct relative ratio of the sub-groups in the sample.
Selecting a fractional but representative part of a mineral deposit for analysis.
The method of selecting members of the target population for inclusion into the subset of individuals (sample) who will be contacted for an interview or to receive a questionnaire.
or random sampling - Sampling is the method of choosing a certain number of people from the population you want to study. Random sampling means that each person in the population has an equal chance of being selected for the study.
The process of collecting a representative amount of gas, liquid, or solid for analytical purposes.
The scientific selection of participants who together form a representative sample of the target user population - for research or product evaluation.
Cutting a representative part of an ore (or coal) deposit, which should truly represent its average value.
A method to make inferences about a whole population using a representative part or single item
Examining a small portion of a large group in order to draw conclusions about the group. See also Random sampling.
The technique of selecting a subset of members of a larger population when it is (as is commonly the case) impossible to study the entire population. Depending on the purpose of the study (e.g., to get a sample that represents the entire population), a researcher chooses individual members in a particular fashion (the sampling design).
A computer process that selects the best pieces of capture data for representation. While 24-bit scanners use sampling to select the eight most-accurate bits each of red, green and blue, 30-bit scanners take the best 10 per color.
Process of selecting and monitoring a subset of the field population of plants to estimate the status of the entire field.
The selection of representative units from a total population. p. 182
The act, process, or technique of selecting a representative part of a population for the purpose of determining the characteristics of the whole population.
The method of selecting a specified portion, called a sample, from a population, from which information concerning the whole can be inferred.
The collection of representative portion of the universe. Example: the collection of a water sample from a contaminated stream.
Creating a subset of data from the whole. Random sampling attempts to represent the whole by choosing the sample through a random mechanism.
Sampling is the process of selecting a small group which would be representative of the entire population; used in taking a survey.
Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. In particular, results from probability theory and statistical theory are employed to guide practice.
A common misunderstanding about case study research is that one cannot generalize from a case study. However, through information-oriented sampling one may arrive at case studies that allow generalization. When the objective is to achieve the greatest possible amount of information on a given problem or phenomenon, a random sample or representative case may not be the most appropriate strategy.
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