Examples of using Standard error in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
SE= standard error, CI= confidence interval.
and the true standard error.
For more complex survey designs, different formulas for calculating the standard error of difference must be used.
coefficients, standard error of y estimate,
The true standard error of the statistic is the square root of the true sampling variance of the statistic.
Vertical bars represent standard error of the mean Solid line:
If the sample size were larger, the standard error of the proportion would be smaller,
It shows what values can take Standard Error of Skewness and Standard Error of Kurtosis when the sample size is from 5 to 10000.
When the sample is not a simple random sample from a large population, the standard error and the confidence interval must be estimated through more advanced calculations.
When the sample is not a simple random sample from a large population, the standard error must be estimated through more advanced calculations.
A Bayesian interpretation of the standard error is that although we do not know the"true" percentage,
A Bayesian interpretation of the standard error is that although we do not know the"true" percentage,
A Bayesian interpretation of the standard error is that although we do not know the"true" percentage,
which leads to an under or overestimation of the standard error and consequently may produce erroneous inferences.
A national precision of maximum 5% relative standard error is required for those variables of the‘Orchard' and‘Vineyard' modules with no applicable precision requirement for any NUTS 2
A national precision of a maximum of 7,5% relative standard error is required for all variables of the other modules with no applicable precision requirement for any NUTS 2
The standard deviation of a population and the standard error of a statistic derived from that population(such as the mean) are quite different
perhaps derived from"plus or minus twice the standard error," and the implications of this for the supposedly corresponding hypothesis tests are usually unknown.
Given the observed percentage difference p- q(2% or 0.02) and the standard error of the difference calculated above(0.03),