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.

The normal distribution describes a symmetrical plot of data around its mean value, where the width of the curve is defined by the standard deviation. It is visually depicted as the "bell curve." ...

It helps to know (and be assured with certainty) that if some data set follows the normal distribution pattern, its mean will enable us to know what returns to expect, and its standard deviation ...

The applet shows how changing these two values determines the shape and spread of the distribution curve. ... This web calculator allows users to specify the mean and standard deviation (SD) of the ...

The normal parameters and are estimated by the sample mean ()and the sample standard deviation (). a chi-square goodness-of-fit test. Compared to the usual cutoff values of 0.05 and 0.10, the p -value ...

In case you need to jog your memory however, a standard normal distribution, which is a normal distribution with the average at 0 and standard deviation as 1, is shown below. The term ‘bell curve’ ...

Standard deviation measurements assume returns are normally distributed. Normal distribution, known as the bell curve, assumes more results clustered near the center and fewer results that are ...