It is the simplest form the mean is an average of all data points.

The blue-chip stock has a low standard deviation so that has low volatility.

The standard deviation used to measure the volatility of a stock, the higher the standard deviation higher the volatility of a stock.

In fiancé standard deviation is used for calculation of an annual rate of return, whereas mean is calculated for the use of calculating the average with the help of historical data.

Mean is a mathematical average of the set of two or more numbers, the mean for the given number can be computed in more than one way.

Standard deviation is statistics that measure the dispersion of a dataset relative to it is mean and its calculated as the square root of is calculated as the square root of variance by determining the variation between each data point relative to the mean.

Let us discuss some of the major differences between Standard Deviation vs Mean Key Differences between Standard Deviation vs Mean Head to Head Comparison between Standard Deviation vs Mean (Infographics)īelow is the top 8 difference between Standard Deviation vs Mean So both Standard Deviation vs Mean term is used in statistics for calculation purposes.

The mean is a statistical indicator which is used to judge the performance of a stock over a period of time through its earning over a period of time by assessing its fundamental such as P/E ratio, balance sheet, and the portfolio by estimating its average rate of return over a period of time. Mean is nothing but the simple average of data. The simple method of mean is to make the total of all data and divide it by the number of data, then we reach to mean. There are different types for calculation of mean, including the arithmetic mean method, which uses sums of all numbers in the series, and the geometric mean method. Mean is a simple mathematical average of the set of two or more numbers. Start Your Free Investment Banking Courseĭownload Corporate Valuation, Investment Banking, Accounting, CFA Calculator & others

Standard deviation matlab