It is called a standard normal distribution.
Mean 0, standard deviation 1.
No.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
idk about normal distribution but for Mean "M" = (overall sum of "x") / "n" frequency distribution: 'M' = Overall sum of (' x ' * ' f ') / overall sum of ( ' f ' ) M = Mean x = Mid Point f = frequiency n = number of variables ALL FOR STANDARD DEVIATION * * * * * A general Normal distribution is usually described in terms of its parameters, and given as N(mu, sigma2) where mu is the mean and sigma is the standard deviation. The STANDARD Normal distribution is the N(0, 1) distribution, that is, it has mean = 0 and variance (or standard deviation) = 1.
a is true.
Mean 0, standard deviation 1.
The standard normal distribution has a mean of 0 and a standard deviation of 1.
No.
It is any standardised distribution.
standard normal
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
idk about normal distribution but for Mean "M" = (overall sum of "x") / "n" frequency distribution: 'M' = Overall sum of (' x ' * ' f ') / overall sum of ( ' f ' ) M = Mean x = Mid Point f = frequiency n = number of variables ALL FOR STANDARD DEVIATION * * * * * A general Normal distribution is usually described in terms of its parameters, and given as N(mu, sigma2) where mu is the mean and sigma is the standard deviation. The STANDARD Normal distribution is the N(0, 1) distribution, that is, it has mean = 0 and variance (or standard deviation) = 1.
a is true.
The standard deviation is 0.
The standard deviation for a single observation is 0.
T-scores have a mean of 50 and a standard deviation of 10. These values are fixed and do not change regardless of the distribution of T-scores.
A standard deviation of zero means that all the data points are the same value.