The most efficient way to calculate standard deviation, especially with a large set of data such as daily stock prices, is via spreadsheet. Below is an example of calculating the standard ...

For example, you could utilize the statistic to identify the range of values that would include 90% of commute times in it. For continuous data, the sample standard deviation is a calculated value ...

For example, a city might receive an average of 50 rainy days per year, with a standard deviation of 10, so most years there's between 40-60 rainy days. But if next year there happens to be 70 ...

In this example, N is 10 and N-1 would be 9. The result is a sample variance of 82.5/9 = 9.17 and a population variance of 8.25. Note that the standard deviation is the square root of the variance ...

A growth-oriented or emerging market fund is likely to have greater volatility and will have a higher standard deviation. Therefore, it is inherently riskier. Example of Using Standard Deviation ...

Choosing a roster with Matt Schaub, Adrian Peterson, Jamal Lewis, and Chad Johnson might win you four or five weeks by a large margin, but you'll lose all the weeks those four put up single digits ...

Calculate your T-Value by taking the difference between the mean and population mean and dividing it over the standard deviation divided by the degrees of freedom square root. For example ...

Annualized volatility = standard deviation (volatility) multiplied by the square root of the periods in the year. For example, you might calculate the volatility of daily stock returns.

Example: “Signy wanted to buy a low-volatility Canadian equity exchange-traded fund (ETF). As part of her research, she looked at data on standard deviation for ETFs at Morningstar.ca.” ...