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.
In general, a mean can be greater or less than the standard deviation.
The standard deviation must be greater than or equal to zero.
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.
In general, a mean can be greater or less than the standard deviation.
The standard deviation must be greater than or equal to zero.
0.8413
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.
The normal distribution and the t-distribution are both symmetric bell-shaped continuous probability distribution functions. The t-distribution has heavier tails: the probability of observations further from the mean is greater than for the normal distribution. There are other differences in terms of when it is appropriate to use them. Finally, the standard normal distribution is a special case of a normal distribution such that the mean is 0 and the standard deviation is 1.
In the same way that you calculate mean and median that are greater than the standard deviation!