Noun phrase
/fɪˈdjuːʃəl ˈlɪmɪts/
"Fiducial limits" refer to the boundary values set around a statistical estimate or measurement, often used in the context of confidence intervals in statistics. These limits help determine the range within which a certain parameter is expected to lie with a specific level of confidence. The term is commonly used in scientific, technical, and statistical contexts.
The phrase is used less frequently in everyday conversation and more often in specialized written communication, such as academic journals and technical reports.
Исследование установилоfiducial limits, чтобы гарантировать, что результаты остаются статистически значимыми.
By calculating the fiducial limits, we were able to draw more accurate conclusions from our data.
Рассчитавfiducial limits, мы смогли сделать более точные выводы из наших данных.
The researchers reported the fiducial limits of the experiment, which provided insights into the variability of the outcomes.
The term "fiducial limits" does not primarily appear in idiomatic expressions in the same way that more common words do. However, in statistical contexts, some phrases involving "limits" or "bounds" can serve a similar purpose. Here are a few relevant expressions:
He always tries to push the limits of his abilities.
"Set limits" - to establish boundaries or restrictions.
We need to set limits on the amount of work we take on.
"Know your limits" - to understand what one can or cannot do.
It is important to know your limits to avoid burnout.
"Within limits" - conforming to boundaries or constraints.
The word "fiducial" is derived from the Latin word "fiducia," which means "trust" or "confidence." It entered the English language in the late 18th century, primarily in the context of science and mathematics. "Limits" comes from the Latin "līmes," meaning "boundary" or "threshold," and has been in use since the early Middle Ages.
By understanding "fiducial limits," one gains insight into a critical concept in statistics, helping to interpret data accurately and make informed decisions based on statistical analysis.