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.

Standard deviation and variance are both ways of measuring how closely a set of data points are clustered around their mean, or average. The larger the variance/standard deviation, the more widely ...

With standard deviation at 1.91 percent, it suggests that the range is plus or minus 1.91 percentage points from the average, meaning that Apple’s returns tend to range from -1.83 percent to 1. ...

Within a normal distribution — an inverted bell-shaped curve — an asset's returns may fall within one standard deviation of the average 68% of the time, within two standard deviations 95% of ...

There we have it! The variance of our population is 11.583. Why use n-1 when calculating the sample variance? Applying n-1 to the formula is called Bessel’s correction, named after Friedrich Bessel.

Standard deviation is equal to the square root of a data set's variance. It measures how spread out points are from the average value of that set. In investing, standard deviation can show the ...

Standard deviation and variance are two basic mathematical concepts that have an important place in various parts of the financial sector, from accounting to economics to investing. Both measure ...