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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.

Q: What is the different between standard normal distribution and normal distribution?

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Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.

The standard deviation in a standard normal distribution is 1.

A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.

The standard deviation in a standard normal distribution is 1.

The standard normal distribution is a special case normal distribution, which has a mean of zero and a standard deviation of one.

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The standard normal distribution is a normal distribution with mean 0 and variance 1.

0.368 or 36.8%.And you should specify that it is a standard normal distribution.0.368 or 36.8%.And you should specify that it is a standard normal distribution.0.368 or 36.8%.And you should specify that it is a standard normal distribution.0.368 or 36.8%.And you should specify that it is a standard normal distribution.

The standard normal distribution has a mean of 0 and a standard deviation of 1.

Yes. Normal (or Gaussian) distribution are parametric distributions and they are defined by two parameters: the mean and the variance (square of standard deviation). Each pair of these parameters gives rise to a different normal distribution. However, they can all be "re-parametrised" to the standard normal distribution using z-transformations. The standard normal distribution has mean 0 and variance 1.

The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.

The standard deviation in a standard normal distribution is 1.

A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.

The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.

The standard deviation in a standard normal distribution is 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.

standard normal is for a lot of data, a t distribution is more appropriate for smaller samples, extrapolating to a larger set.

The mean is 0 and the variance is 1. This need not be the case in any other Normal (Gaussian) distribution.