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Outliers
| Глоссарий по стандартизации, контролю и управлению качеством |
Discrepant values. values which do not agree with the pattern of the majority of other values. they may be due to mistakes or they may represent a significant finding. when outliers are suspected, it is best to calculate the data set with and without the outlier values. if their presence changes the conclusion drawn from the data, then the experimental results are not reliable. it is possible to apply a wide variety of statistical tests or rules for purposes of rejecting outliers, however, the choice of rules is always subject to argument. it is always better to inspect the data as it is collected during the experiment, identify discrepant values, and determine their cause.
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Выпадающие величины, русский
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Significant, английский
- Значительный
- A значимый (о суффиксе и т.п. ) (ант. non-significant) | n означающее, сигнификант
Conclusion, английский
- Вывод;
- Вывод; умозаключение
Experimental, английский
- Экспериментальный
- A эксперимен- тальный phonetics
Statistical, английский
Experiment, английский
- What distinguishes an experiment from an observational study is that in an experiment, the experimenter decides who receives the treatment.
- Эксперимент
- A scientific test conducted under set conditions the scientists did some experiments to try the new drug on a small sample of people.
- N экспе- римент (см. тж. test) associative ~ псхлнгв. ассоциативный экспе- римент psycholinguistic ~ психолингвистический экс- перимент
- Эксперимент; опыт, опытное исследование
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Paired t-test, английский
A form of the t-test where the data consist of pairs of observations on one set of samples, either before and after experimental treatment, or by two different methods of measurement. this statistical test is often used in analyzing the data from a comparison of methods experiment. information about the systematic error is provided by the bias statistic; information about the random error between methods is provided by the standard deviation of the differences. these estimates will be reliable if proportional error is absent, or if the estimate of bias is only interpreted for a medical decision concentration that is close to the mean of the data. the t-value itself is a ratio of the systematic and random error terms and is useful only to assess whether sufficient data has been collected to conclude that a real difference exists. the t-value should not be interpreted as an indicator of method acceptability.
Opspecs chart, английский
A plot of the inaccuracy (on the y-axis) and the imprecision (on the x-axis) that are allowable for different qc procedures. the chart is prepared for a defined quality requirement and for a stated level of analytical quality assurance (aqa). readily available in workbook format in the opspecs manual and also easily prepared by the qc validator computer program.
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