Standard deviation is a statistic measuring the dispersion of a dataset relative to its mean. It is calculated as the square root of the variance. Learn how it's used.

There's also a formula to find the standard deviation of an entire population, which is identical, except you divide by N rather than (N-1) in step four. Interpreting standard deviation.

Another way to interpret the normal distribution is to say that the probability of Apple’s return (at a range of -1.83 percent and 1.99 percent) falling within -1 and 1 standard deviation from ...

Standard deviations are important here because the shape of a normal curve is determined by its mean and standard deviation. The mean tells you where the middle, highest part of the curve should go.

Standard deviation is a measure of how far away individual measurements tend to be from the mean value of a data set. The standard deviation of company A's employees is 1, while the standard ...

In a normal distribution, individual values fall within one standard deviation of the mean, above or below, 68% of the time. Values are within two standard deviations 95% of the time.

The formula for pooled standard deviation. In the formula above, n is the sample size of the group, S squared the group ...

For example, if your mean is in cell A2, population mean in cell B2, standard deviation in cell C2, square root of degrees of freedom in E2, type the formula as =(A2-B2)/(C2/E2) to generate the T ...

Use Excel to calculate daily returns and standard deviation to gauge stock volatility. Annualize volatility by multiplying daily standard deviation by the square root of 252. Remember, standard ...