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.
Standard deviation describes the spread of a distribution around its mean.
Yes.
The standard deviation in a standard normal distribution is 1.
The standard deviation in a standard normal distribution is 1.
mode and skew
the mean and the standard deviation
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.
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.
Standard deviation describes the spread of a distribution around its mean.
Yes.
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.
If the samples are drawn frm a normal population, when the population standard deviation is unknown and estimated by the sample standard deviation, the sampling distribution of the sample means follow a t-distribution.