It is the 31st percentile.
A normal distribution can have any value for its mean and any positive value for its variance. A standard normal distribution has mean 0 and variance 1.
The standard normal distribution has mean 0 and variance 1. It is not clear what 0.62 has to do with the distribution.
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The standard normal distribution or the Gaussian distribution with mean 0 and variance 1.
Yes, and is equal to 1. This is true for normal distribution using any mean and variance.
A normal distribution can have any value for its mean and any positive value for its variance. A standard normal distribution has mean 0 and variance 1.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
The normal distribution can have any real number as mean and any positive number as variance. The mean of the standard normal distribution is 0 and its variance is 1.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
Yes, the mean (and median and mode) is the 50th percentile of any normal distribution.
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
Actually the normal distribution is the sub form of Gaussian distribution.Gaussian distribution have 2 parameters, mean and variance.When there is zero mean and unit variance the Gaussian distribution becomes normal other wise it is pronounced as Gaussian.Wrong! The standard normal distribution has mean 0 and variance 1, but a normal distribution is the same as the Gaussiand, and can have any mean and variance. Google stackexcange "what-is-the-difference-between-a-normal-and-a-gaussian-distribution"
The standard normal distribution has mean 0 and variance 1. It is not clear what 0.62 has to do with the distribution.
A Gaussian distribution is the "official" term for the Normal distribution. This is a probability density function, of the exponential family, defined by the two parameters, its mean and variance. A population is said to be normally distributed if the values that a variable of interest can take have a normal or Gaussian distribution within that population.
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A mathematical definition of a standard normal distribution is given in the related link. A standard normal distribution is a normal distribution with a mean of 0 and a variance of 1.
The standard normal distribution or the Gaussian distribution with mean 0 and variance 1.