Examples of using Normal distribution in English and their translations into Dutch
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Programming
In general overall the most prudent idea to reinstall the tin with a normal distribution that supports working distributive upgrade.
As the sample size n gets larger the distribution more closely approximates the shape of the normal distribution with mean equal to zero.
which relies on the results having a normal distribution.
NORMDIST NORMDIST() returns the cumulative normal distribution for the specified mean
If you use a multivariate normal distribution in the modeling of a certain phenomenon,
standard deviation and normal distribution by using formulas,
This distribution can be approximated by the standard normal distribution for some special cases.
The latter result claims that if a sum of two independent random variables has normal distribution, then each summand is normally distributed as well.
if left out the standard normal distribution is used where μ =0
there is also a standard normal distribution.
In its standard form it says that if a stochastic variable x has a finite variance then the distribution of the sums of n samples of x will approach a normal distribution as the sample size n increases without limit.
The multivariate normal distribution, which in practice is often wrongly used,
However, using the multivariate normal distribution inappropriately can result in an underestimate of the risk, especially in case of extreme(simultaneous) situations.
The multivariate normal distribution, which in practice is often wrongly used,
joint normal distribution is a generalization of the one-dimensional(univariate) normal distribution to higher dimensions.
the consequence is that the multivariate normal distribution is not the right model to base the calculations on.
None means the Expected estimate is used as is. Low risk means that a normal distribution is used.
is normal- even though it is not a normal distribution in the statistical sense!
With the log normal distribution, knowing an element's average concentration χ
i. e. the sample is not a random sample of the normal distribution. If sigma is omitted, it is estimated from sample, using STDEV.