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.
The standard normal distribution or the Gaussian distribution with mean 0 and variance 1.
A normal distribution is defined by two parameters: the mean, m, and the variance s2, (or standard deviation, s).The standard normal distribution is the special case of the normal distribution in which m = 0 and s = 1.
The standard deviation in a standard normal distribution is 1.
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 is a normal distribution with 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 has mean 0 and variance 1. It is not clear what 0.62 has to do with the distribution.
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
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 mean and standard deviation.
The standard normal distribution or the Gaussian distribution with mean 0 and variance 1.
A normal distribution is defined by two parameters: the mean, m, and the variance s2, (or standard deviation, s).The standard normal distribution is the special case of the normal distribution in which m = 0 and s = 1.
The standard deviation in a standard normal distribution is 1.
Yes, the normal distribution, standard or not is always continuous.