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.
Yes, a normal distribution can have a standard deviation of 1. In fact, the standard normal distribution, which is a specific case of the normal distribution, has a mean of 0 and a standard deviation of 1. This allows for easy computation of z-scores, which standardize any normal distribution for comparison. Therefore, a normal distribution with a standard deviation of 1 is a valid and common scenario.
standard normal
No, the mean of a standard normal distribution is not equal to 1; it is always equal to 0. A standard normal distribution is characterized by a mean of 0 and a standard deviation of 1. This distribution is used as a reference for other normal distributions, which can have different means and standard deviations.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
Yes, the standard deviation of a standard normal distribution is always equal to 1. The standard normal distribution is a specific normal distribution with a mean of 0 and a standard deviation of 1, which allows it to serve as a reference for other normal distributions. This property is essential for standardizing scores and facilitating comparisons across different datasets.
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.