Standard deviation is a number and you would divide it in exactly the same way as you would divide any other number!
To calculate the standard deviation of the mean (often referred to as the standard error of the mean), you first compute the standard deviation of your sample data. Then, divide this standard deviation by the square root of the sample size (n). The formula is: Standard Error (SE) = Standard Deviation (σ) / √n. This value gives you an estimate of how much the sample mean is expected to vary from the true population mean.
The standard deviation of the population. the standard deviation of the population.
The standard deviation is 0.
The standard deviation in a standard normal distribution is 1.
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.
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.
The formula for calculating uncertainty in a dataset using the standard deviation is to divide the standard deviation by the square root of the sample size.
It is not. And that is because the mean deviation of ANY variable is 0 and you cannot divide by 0.
The standard deviation is the standard deviation! Its calculation requires no assumption.
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.
Standard deviation is the square root of the variance.
The standard deviation in a standard normal distribution is 1.
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.
The standard deviation is a measure of the spread of data.
difference standard deviation of portfolio