Examples of using Normally distributed in English and their translations into German
{-}
-
Colloquial
-
Official
-
Ecclesiastic
-
Medicine
-
Financial
-
Ecclesiastic
-
Political
-
Computer
-
Programming
-
Official/political
-
Political
The sample is normally distributed.
The test is known as parametric because the assumption is made that the samples are normally distributed.
The samples are normally distributed.
If x is normally distributed, then y is log-normally distributed. .
Are the samples normally distributed?
A court has no use for an exact mathematical model or for regressions, which are so well specified,that the error term is normally distributed.
The samples are not normally distributed.
Suppose, we have four normally distributed samples, of which we only know that the variances are equal but we don't know the sample sizes.
The samples are not normally distributed.
If a random variable Y is normally distributed with mean μ and variance σ2, then the quantity.
Grubbs' outlier test(Grubbs 1969 and Stefansky 1972) checks normally distributed data for outliers.
The electrical and mechanical features which are normally distributed to various components during conceptualization and development are combined into a single MID part.
The F-distribution becomes relevantwhen we try to calculate the ratios of variances of normally distributed statistics.
Information, which is normally distributed by NIS, is for instance.
Gosset demonstrated in 1908 that the ratio t between the difference of the sample mean and the population mean, andthe standard error of the mean, is not normally distributed if the population parameters are unknown.
Kg, the machining is normally distributed over several tools.
Expand this data set by one column andcreate another data set in the new column which is normally distributed around a mean of 122 with a standard deviation of 18.
You will have an overview of the test procedure for normally distributed measured values as discussed in DIN 55303-2 and in addition you will learn non-distribution procedures for non-normally distributed characteristic values.
Tests for Normality: Because so many statisticalprocedures assume that a set of data are normally distributed, it is useful to have methods for checking this assumption.
Provide a unifying framework that includes classical linear models with normally distributed dependent variables, logistic and probit models for binary data, and loglinear models for count data, as well as various other nonstandard regression-type models.
Distribution of requirements of a population group assuming that the requirement is normally distributed and the variation in requirements between individuals is known.
The samples are normally distributed.
Generalized linear models(GENLIN) including widely used statistical models,such as linear regression for normally distributed responses, logistic models for binary data and loglinear models for count data.