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confidence range - translation to russian
![error bars]]") represent the confidence intervals around them. Although the error bars are shown as symmetric around the means, that is not always the case. In most graphs, the error bars do not represent confidence intervals (e.g., they often represent standard errors or standard deviations)](https://commons.wikimedia.org/wiki/Special:FilePath/Confidenceinterval.svg?width=200 "error bars]]\") represent the confidence intervals around them. Although the error bars are shown as symmetric around the means, that is not always the case. In most graphs, the error bars do not represent confidence intervals (e.g., they often represent standard errors or standard deviations)")
общая лексика
доверительный интервал
математика
доверительный диапазон
![The outgoing prime minister [[Mariano Rajoy]] (right) congratulates the incoming prime minister Pedro Sánchez (left) upon losing the no-confidence vote on 1 June 2018.](https://commons.wikimedia.org/wiki/Special:FilePath/Mariano Rajoy felicita al nuevo presidente del Gobierno Pedro Sánchez (2018-06-01).jpg?width=200 "The outgoing prime minister [[Mariano Rajoy]] (right) congratulates the incoming prime minister Pedro Sánchez (left) upon losing the no-confidence vote on 1 June 2018.")
общая лексика
вотум недоверия
Definition
Wikipedia
In frequentist statistics, a confidence interval (CI) is a range of estimates for an unknown parameter. A confidence interval is computed at a designated confidence level; the 95% confidence level is most common, but other levels, such as 90% or 99%, are sometimes used. The confidence level represents the long-run proportion of CIs (at the given confidence level) that theoretically contain the true value of the parameter. For example, out of all intervals computed at the 95% level, 95% of them should contain the parameter's true value.
Factors affecting the width of the CI include the sample size, the variability in the sample, and the confidence level. All else being the same, a larger sample produces a narrower confidence interval, greater variability in the sample produces a wider confidence interval, and a higher confidence level produces a wider confidence interval.
