Examples of using Standard normal in English and their translations into Bulgarian
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Medicine
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Ecclesiastic
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Computer
The simplest case of a normal distribution is known as the standard normal distribution, described by the probability density function.
NORMINV uses the standard normal distribution(see NORMSINV).
The simplest case of a normal distribution is known as the'standard normal distribution, described by this probability density function.
Standard normal condition: moderate power,
Probability that a member of a standard normal population will fall between the mean
N(x)= the cumulative distribution function for a standard normal random variable meaning the probability that a normal random variable with mean zero
where E t{\displaystyle E_{t}} is drawn from a standard normal distribution with zero mean and unity standard deviation for random walks, or drawn from Lévy distribution for Lévy flights.
Returns the standard normal cumulative distribution function.
Longitudinal stability; usual value of t in standard normal condition.
(2) What are the characteristics of standard normal distribution?
is called the standard Normal distribution.
A Normal distribution with= 0 and˙= 1 is referred as“standard Normal distribution”.
N(di)= probability that a deviation less than di will occur in a standard normal distribution.
N(d) is the probability that such a variable will be less than d on a standard normal distribution.
its general shape is similar to that of the standard normal distribution.
The NORMSINV() function returns the inverse of the standard normal cumulative distribution.
sum of k squared, independent, standard normal random variables.
compared to an intake following a standard normal caloric meal(21 g fat, 533 kcal).
The last part of the equation above shows that any other normal distribution can be regarded as a version of the standard normal distribution that has been stretched horizontally by a factor σ
