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ετυμολογία

Τι (ποιος) είναι unbiased sampling - ορισμός

SELECTION OF DATA POINTS IN STATISTICS

Sample (statistics); Statistical sampling; Sample survey; Random sampling; Random sample; Statistical sample; Sampling method; Sample population; Sample poppulation; Sampling (mathematics); Random allocation; Sample set; Representative sample; Sampling methods; Sample (probability); Sampling technique; Probability sample; Sampling techiques; Sampling techniques; Probability sampling; Sampling plan; Random sampling with replacement; Sampling (A level business); Random selection; Statistical Sample; Randomly selected; Unbiased sampling; Sampling Theory; Sampling scheme; Sample group; Data sample; Data sampling; N (statistics); With replacement; Without replacement; Double Labelling Experiment; Applications of statistical sampling; Random samples; Sample Surveys

Sampling (statistics)

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population in question.

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

random sample

n. to select, take a random sample

Sample (statistics)

In statistics and quantitative research methodology, a sample is a set of individuals or objects collected or selected from a statistical population by a defined procedure. The elements of a sample are known as sample points, sampling units or observations.

https://en.wikipedia.org/wiki/Sample_(statistics)

Βικιπαίδεια

Sampling (statistics)

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population in question. Sampling has lower costs and faster data collection than measuring the entire population and can provide insights in cases where it is infeasible to measure an entire population.

Each observation measures one or more properties (such as weight, location, colour or mass) of independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. Results from probability theory and statistical theory are employed to guide the practice. In business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications.

https://en.wikipedia.org/wiki/Sampling (statistics)