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Confidence interval, confidence range
| Глоссарий по стандартизации, контролю и управлению качеством |
The interval or range of values which will contain the population parameter with a specified probability.
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Population, английский
- A definable set of individual units to which the findings from statistical examination of a sample subset are intended to be applied. the population will generally much outnumber the sample. in re-randomisation statistics the process of applying inference
- See stock.
- A collection of units being studied. units can be people, places, objects, epochs, drugs, procedures, or many other things. much of statistics is concerned with estimating numerical properties (parameters) of an entire population from a random sample of units from the population.
- A group or number of people living within a specified area or sharing similar characteristics (such as occupation or age).
- Население; народонаселение; генеральная совокупность (в выборочном наблюдении); популяция (биол)
- Население
- 1. the number of people living in a country or town population statistics show that the birth rate is slowing down. the government has decided to screen the whole population of the area. 2. the number of patients in hospital the hospital population in the area has fallen below 10,000.
- Популяция
- Население; популяция -
- Популяция. в клинических исследованиях совокупность субъектов, обладающих какими-либо одинаковыми признаками (пол, возраст, диагноз).
- Население; популяция
- Any group of individuals, usually of a single species, occupying a given area at the same time; groups of organisms with homologue (same) alleles. p. cycle: changes in the numbers of individuals in a population which repeatedly oscillate between periods of high and low density. p. density: allowing a mathematically precise reflection - pd. • absolute: pd = number of individuals/unit area or volume [1/m2] or [1/m3] • relative: pd allows only a simple comparison (pd <, =, >, ? etc.). p. dynamics: the variations in time and space in the sizes and densities of populations; distribution due to changing food resources - the stability of a population depends upon abiotic factors, intraspecific competition (density dependent), natality, mortality etc. p. ecology: the study of the variations in time and space in the sizes and densities of populations, and of the factors causing those variations. p. fluctuation: variations over time in the size of a population. p. growth: is zero, when the birth rate equals the death rate (see carrying capacity). nt+1 = nt + r nt, current number of individuals r = (natality + immigration) - (mortality+emigration) r, intrinsic rate of growth (see density) p. pyramid: a means of illustrating the age structure of a population diagrammatically, by placing the youngest age class at the base and stacking successive age classes above it. p. regulation : a tendency in a population for some factor to cause density to increase when it is low and to decrease nt, momentary number of individuals when it is high. n0, number of individuals at start
- Generally, a collection of individuals with common characteristics. in statistics, a potentially infinite collection of independent (->independence) units that include all units of a specified type with attention paid only to the agggregate (->aggregation) property of the collection. a sample of data drawn from this population is a subset of the units constituting this population and scientific generalizations from such samples are limited by the size of the population originally specified (->model, ->representation).
- The process of scanning content to compile and maintain an index.
- Fish of the same species inhabiting a specified geographic area.
Probability, английский
- Probability can be generally defined as a measure of how likely some event will occur. the event could be an explosion, a lottery win or perhaps cancer induction. mathematically speaking, the value of probability varies between 0 and 1 where 0 means an ev
- Вероятность. возможность.
- The probability of an event is a number between zero and 100%. the meaning (interpretation) of probability is the subject of theories of probability, which differ in their interpretations. however, any rule for assigning probabilities to events has to satisfy the axioms of probability.
- Вероятность
- Вероятность probability sample, syn. random sample
- Вероятность. мера случайности появления конкретного события. например, вероятность случайного выбора из популяции человека с конкретным качеством соответствует доле людей в популяции, обладающих этим качеством.
- Вероятность; возможность
- Вероятность; обеспеченность (гидрологической величины) ~ of no-failure вероятность безотказной работы
- Probability is a method for representing uncertainty about propositions or events. it represents the uncertainty about a proposition on a scale from 0 to 1, with a 0 representing complete certainty that the proposition is false or an event will not occur and a value of one will represent the opposite. formally, a probability measure is one that follows kolmogorov`s axioms. there are two main schools of thought on the meaning of probability. frequentists take a narrow interpretation of probability allowing only hypothetically repeatable events or experiments as being quantifiable by probability, while bayesians take a broader interpretation that allows reasoning about "one-shot" events and propositions based on the current knowledge about nature. the bayesian interpretation is most commonly used in artificial intelligence, while the frequentist interpretation is most commonly taught in statistics courses. the label "bayesian" arises from the central role that the bayes theorem plays in this use of probability. it allows one to reason from effects to causes and encourages the use of probability measures to describe supposedly fixed events or propositions which frequentists disallow. the probability for these events reflects one`s state of knowledge about the event, rather than being an assertion that the unknown event can vary. for example, a bayesian would have no qualms about making statements about the probability that a given die, rolled and hidden from his sight is, for example, a six. a frequentist would be unable to make such a statement, preferring to talk about his confidence in the method when applied to a hypothetically large number of repeated experiments. in the end, they would act in similar ways. when the long run data are available, bayesians and frequentists end up with the same estimates. see also: bayes theorem, kolmogorov`s axioms.
- Вероятность. математическое измерение возможности появления неко-его события, выраженное в виде дроби или процента [30]. значения статистической вероятности лежат в пределах от 1 или 100 процентов (всегда) до 0 или 0 процентов (никогда) [20]. наибольшее приближение к истинной вероятности дает относитель-ная частота события, полученная на основе большой серии измерений или результа-тов [33]. вероятность может быть также определена как выражение в некоторой неопределимой форме "степени уверенности" или как предельная частота события в бесконечной случайной последовательности [49].
- The likelihood of something happening. for example, sale being made.
- Вероятность. математическое измерение возможности появления некоего события, выраженное в виде дроби или процента [30]. значения статистической вероятности лежат в пределах от 1 или 100 процентов (всегда) до 0 или 0 процентов (никогда) [20]. наибольшее приближение к истинной вероятности дает относительная частота события, полученная на основе большой серии измерений или результатов [33]. вероятность может быть также определена как выражение в некоторой неопределимой форме "степени уверенности" или как предельная частота события в бесконечной случайной последовательности [49].
- The relative likelihood of a particular outcome among all possible outcomes.
- Likelihood that an event may occur, expressed as a number between 0 and 1.
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Constant systematic error, ce, английский
An error that is always the same direction and magnitude even as the concentration of analyte changes.
Comparison of methods experiment, английский
A method validation experiment in which a series of patient samples are analyzed both by the test method (the one under study) and a comparison method (an established method). the purpose is to assess whether a systematic difference (i.e., bias or inaccuracy) exists between the two methods. the differences in results by the two methods are interpreted as analytical errors between the methods.
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