It gives us an idea how far away we are from the center of a normal distribution.
Standard deviation is a measure of the spread of data.
the sample standard deviation
The standard deviation is the standard deviation! Its calculation requires no assumption.
Better for what? Standard deviation is used for some calculatoins, variance for others.
The standard deviation of the population. the standard deviation of the population.
The standard deviation is 0.
Information is not sufficient to find mean deviation and standard deviation.
T-score is used when you don't have the population standard deviation and must use the sample standard deviation as a substitute.
Standard deviation is the square root of the variance.
The standard deviation in a standard normal distribution is 1.
It's used in determining how far from the standard (average) a certain item or data point happen to be. (Ie, one standard deviation; two standard deviations, etc.)
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.