yes
The answer depends on greater standard deviation that WHAT!
Mean 0, standard deviation 1.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
Yes.
Standard deviation describes the spread of a distribution around its mean.
The standard deviation in a standard normal distribution is 1.
The standard deviation in a standard normal distribution is 1.
the mean and the standard deviation
mode and skew
The answer depends on greater standard deviation that WHAT!
By specifying the centre and standard deviation of the distribution but also mentioning the fact that it is bimodal and identifying the modes.
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.
Mean 0, standard deviation 1.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
Yes.
Standard deviation describes the spread of a distribution around its mean.
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.