отклонение нулевой гипотезы на уровне
English translation: rejection of the null hypothesis at
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| 15:09 Apr 16, 2015 |
| Russian to English translations [PRO] Bus/Financial - Mathematics & Statistics / foreign trade | |||||||
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|  Selected response from: Mikhail Kropotov Germany Local time: 10:57 | ||||||
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| 4 +1 | rejection of the null hypothesis at 1% and 5%, respectively |
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| Discussion entries: 3 | |
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Answers
10 mins confidence: 
peer agreement (net): +1
peer agreement (net): +1rejection 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 |
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Reference comments
8 mins peer agreement (net): +1 |
| 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. |
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