The answer depends on greater standard deviation that WHAT!
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
It is the value that is one standard deviation greater than the mean of a Normal (Gaussian) distribution.
The standard deviation must be greater than or equal to zero.
In general, a mean can be greater or less than the standard deviation.
Yes. Since the standard deviation is defined as the square root of the variance, it can be said that the higher the standard deviation, the higher the variance.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
Yes - but the distribution is not a normal distribution - this can happen with a distribution that has a very long tail.
A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.
Standard deviation can be greater than the mean.
It is the value that is one standard deviation greater than the mean of a Normal (Gaussian) distribution.
It does not indicate anything if the mean is greater than the standard deviation.
The standard deviation must be greater than or equal to zero.
In general, a mean can be greater or less than the standard deviation.
Yes. Since the standard deviation is defined as the square root of the variance, it can be said that the higher the standard deviation, the higher the variance.
0.8413
In the same way that you calculate mean and median that are greater than the standard deviation!
A measure used to describe the variability of data distribution is the standard deviation. It quantifies the amount of dispersion or spread in a set of values, indicating how much individual data points differ from the mean. A higher standard deviation signifies greater variability, while a lower standard deviation indicates that the data points are closer to the mean. Other measures of variability include variance and range.