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13 relations: Bernoulli trial, Correct sampling, Homogeneity and heterogeneity, Independence (probability theory), Linearization, Pierre Gy, Poisson sampling, Sampling (statistics), Sampling error, Sampling probability, Scientific modelling, Scientific theory, Variance.
Bernoulli trial
In the theory of probability and statistics, a Bernoulli trial (or binomial trial) is a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted.
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Correct sampling
During sampling of granular materials (whether airborne, suspended in liquid, aerosol, or aggragated), correct sampling is defined in Gy's sampling theory as a sampling scenario in which all particles in a population have the same probability of ending up in the sample.
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Homogeneity and heterogeneity
Homogeneity and heterogeneity are concepts often used in the sciences and statistics relating to the uniformity in a substance or organism.
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Independence (probability theory)
In probability theory, two events are independent, statistically independent, or stochastically independent if the occurrence of one does not affect the probability of occurrence of the other.
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Linearization
In mathematics, linearization is finding the linear approximation to a function at a given point.
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Pierre Gy
Pierre Maurice Gy (25 July 1924 – 5 November 2015) was a chemist and statistician.
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Poisson sampling
In the theory of finite population sampling, Poisson sampling is a sampling process where each element of the population is subjected to an independent Bernoulli trial which determines whether the element becomes part of the sample.
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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.
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Sampling error
In statistics, sampling error is incurred when the statistical characteristics of a population are estimated from a subset, or sample, of that population.
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Sampling probability
In statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element or member of the population, is its probability of becoming part of the sample during the drawing of a single sample.
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Scientific modelling
Scientific modelling is a scientific activity, the aim of which is to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate by referencing it to existing and usually commonly accepted knowledge.
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Scientific theory
A scientific theory is an explanation of an aspect of the natural world that can be repeatedly tested, in accordance with the scientific method, using a predefined protocol of observation and experiment.
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Variance
In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean.
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