Examples of using Normal distribution in English and their translations into Russian
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Normal distribution concepts.
This is the data available for the normal distribution.
Testing for normal distribution was done using Shapiro-Wilk criterion.
In the thoracic region there is also normal distribution of FDG.
The random variable R has normal distribution with the following mean value and the variance.
Stats_rand_gen_normal- Generates a single random deviate from a normal distribution.
Cramér's decomposition theorem for a normal distribution is a result of probability theory.
Testinig probability distribution variance from the normal distribution.
To achieve a normal distribution of microparticles by size the images were processed with the ImageJ software.
It is not always necessary ordesirable to transform a data set to resemble a normal distribution.
Gauss beams, including having normal distribution, are widely applied in optics, and in laser equipment 5.
However, this index is difficult to interpret because the sample has no normal distribution.
To sample from the normal distribution N( 0, 1){\displaystyle N(0,1)} we first choose an initial x-say 0.
The CLT provides a basis for some sample statistics having a normal distribution for large samples.
Data complying with the normal distribution law were presented in the form of a mean value and standard deviation.
Draw samples from a multivariate t distribution and a multivariate normal distribution.
The diameter of an American cranberry follows a normal distribution with mean 16 mm and standard deviation 1.6 mm.
After 12,000 tries, the number of successfully parked circles should follow a certain normal distribution.
The probability density H(x)is then converted to a standard normal distribution Z with a mean and standard deviation of 1.
This is a statistical method for the analysis of binary variable dependence on numerous factors,using normal distribution.
Noise having a continuous distribution, such as a normal distribution, can of course be white.
If X{\displaystyle X} has a normal distribution, these moments exist and are finite for any p{\displaystyle p} whose real part is greater than -1.
Compare the filtered data from each stock to the normal distribution with QuantilePlot.
This approximation is termed the normal distribution approximation, Gaussian approximation, or Silverman's(1986) rule of thumb.
Silica sand of hardness 7 on the Mohr scale, with a grain size between 0 and0.2 mm and an almost normal distribution, with an angular factor of 1.8 to 2;
Despite non normal distribution, in experiment 3, rules for normally distributed data is work: only in 9 of 8453(0.1%) measurement have error ower 155 ns± 2.7 cm.
The sample distribution most closely approximated the normal distribution after a log transformation.
Gaussian distribution: the normal distribution was introduced by Abraham de Moivre in 1733, but named after Carl Friedrich Gauss who began using it in 1794.
Statistical analysis also allows to test the hypothesis about the normal distribution of both source data and results.
In other words, the random variable X is assumed to have a normal distribution with an unknown precision distributed as gamma, and then this is marginalized over the gamma distribution. .