# отклонение нулевой гипотезы на уровне

## English translation: rejection of the null hypothesis at

GLOSSARY ENTRY (DERIVED FROM QUESTION BELOW)
 Russian term or phrase: отклонение нулевой гипотезы на уровне English translation: rejection of the null hypothesis at Entered by:

 15:09 Apr 16, 2015
Russian to English translations [PRO]
Bus/Financial - Mathematics & Statistics / foreign trade
 Russian term or phrase: отклонение нулевой гипотезы на уровне A footnote to a study of foreign trade: Нулевая гипотеза (т.е. ассортимент продукции, экспортируемой в страны ЕЭП, не отличается от ассортимента экспорта на другие рынки), альтернативная гипотеза (т.е. существуют отличия в ассортименте экспорта в страны ЕЭП и другие страны); *** и ** означают отклонение нулевой гипотезы на уровне 1% и 5% соответственно. I am editing a translation of this, and the translator wrote "rejection of the null hypothesis at 1% and 5%, respectively." I am not knowledgeable about statistics, but I think this should be something like: "deviation from the null hypothesis by 1%..." Please answer only if you know something about statistics! Thanks
 Susan WelshUnited States Local time: 21:53
 rejection of the null hypothesis at 1% and 5%, respectively Explanation:Is absolutely correct 'Deviation from,' while meaningless in this context, would have been rendered as отклонение ОТ нулевой гипотезы.--------------------------------------------------Note added at 11 mins (2015-04-16 15:20:36 GMT)--------------------------------------------------Let's return finally to the question of whether we reject or fail to reject the null hypothesis. If our statistical analysis shows that the significance level is below the cut-off value we have set (e.g., either 0.05 or 0.01), we reject the null hypothesis and accept the alternative hypothesis. https://statistics.laerd.com/statistical-guides/hypothesis-t...--------------------------------------------------Note added at 12 mins (2015-04-16 15:21:22 GMT)--------------------------------------------------In inferential statistics on observational data, the null hypothesis refers to a general statement or default position that there is no relationship between two measured phenomena. Rejecting or disproving the null hypothesis—and thus concluding that there are grounds for believing that there is a relationship between two phenomena (e.g. that a potential treatment has a measurable effect)—is a central task in the modern practice of science, and gives a precise sense in which a claim is capable of being proven false. http://en.wikipedia.org/wiki/Null_hypothesis
Selected response from:

Mikhail Kropotov
Russian Federation
Local time: 05:53
 Thanks again4 KudoZ points were awarded for this answer

Summary of answers provided
4 +1rejection of the null hypothesis at 1% and 5%, respectively
 Mikhail Kropotov
Summary of reference entries provided
 Amy Lesiewicz

Discussion entries: 3

10 mins   confidence: peer agreement (net): +1
rejection of the null hypothesis at 1% and 5%, respectively

Explanation:
Is absolutely correct

'Deviation from,' while meaningless in this context, would have been rendered as отклонение ОТ нулевой гипотезы.

--------------------------------------------------
Note added at 11 mins (2015-04-16 15:20:36 GMT)
--------------------------------------------------

Let's return finally to the question of whether we reject or fail to reject the null hypothesis. If our statistical analysis shows that the significance level is below the cut-off value we have set (e.g., either 0.05 or 0.01), we reject the null hypothesis and accept the alternative hypothesis.

https://statistics.laerd.com/statistical-guides/hypothesis-t...

--------------------------------------------------
Note added at 12 mins (2015-04-16 15:21:22 GMT)
--------------------------------------------------

In inferential statistics on observational data, the null hypothesis refers to a general statement or default position that there is no relationship between two measured phenomena. Rejecting or disproving the null hypothesis—and thus concluding that there are grounds for believing that there is a relationship between two phenomena (e.g. that a potential treatment has a measurable effect)—is a central task in the modern practice of science, and gives a precise sense in which a claim is capable of being proven false.

http://en.wikipedia.org/wiki/Null_hypothesis

 Mikhail KropotovRussian FederationLocal time: 05:53Specializes in fieldNative speaker of: RussianPRO pts in category: 124
 Thanks again

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Reference

Reference information:
I'm not an expert in statistics by any means, but I think the translator got it right. Compare this from Wikipedia (http://www.proz.com/kudoz/russian_to_english/mathematics_sta...

Before performing the test a threshold value is chosen, called the significance level of the test, traditionally 5% or 1% [1] and denoted as α. If the p-value is equal to or smaller than the significance level (α), it suggests that the observed data are inconsistent with the assumption that the null hypothesis is true, and thus that hypothesis must be rejected and the alternative hypothesis is accepted as true.

Here the calculated p-value exceeds 0.05, so the observation is consistent with the null hypothesis, as it falls within the range of what would happen 95% of the time were the coin in fact fair. ***Hence, we fail to reject the null hypothesis at the 5% level.*** Although the coin did not fall evenly, the deviation from expected outcome is small enough to be consistent with chance.

 Amy LesiewiczUnited StatesWorks in fieldNative speaker of: EnglishPRO pts in category: 4

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