There is no particular meaning associated with theta - it will depend on the context.
The mean of a standard normal distribution is 0.
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 is a special case normal distribution, which has a mean of zero and a standard deviation of one.
It is another name for the Gaussian distribution.
The mean of a standard normal distribution is 0.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
The standard normal distribution is a normal distribution with mean 0 and variance 1.
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 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.
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
The standard normal distribution has a mean of 0 and a standard deviation of 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 normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 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"
In the normal distribution, the mean and median coincide, and 50% of the data are below the mean.
The distribution of the sample mean is bell-shaped or is a normal distribution.