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It is defined as the positive Square root of the mean of the squared deviations from mean. The square of S.D is called variance.

The standard deviation is used as a measure of the variance of a measurement within a group of objects. In essence, it is the average difference between the measurement of any one object and the mean measurement for the group. For example, if the average measured weight of brown bears is 140kg (265lbs) and the standard deviation of weights among brown bears is 5kg (11lbs), then any particular, individual brown bear is likely to weight between 135-145kg (254-276lbs), and very likely to weight between 130-150kg (243-287lbs). It's impossible to know the weight of an individual bear just by looking at the mean weight for all bears, but the standard deviation tells you what range of weights the weight of an individual bear will fall in.

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0The standard deviation is the standard deviation! Its calculation requires no assumption.

The standard deviation of the population. the standard deviation of the population.

The standard deviation is 0.

Information is not sufficient to find mean deviation and standard deviation.

The standard deviation in a standard normal distribution is 1.

Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.

You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.

The standard deviation in a standard normal distribution is 1.

The symbol for standard deviation is sigma , σ.

Standard deviation of a single event is 0.

The standard deviation is a measure of the spread of data.

difference standard deviation of portfolio

Exactly as in the question: standard deviation!

Standard deviation can never be negative.

Standard deviation is a measure of the spread of data.

Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.

The square of the standard deviation is called the variance. That is because the standard deviation is defined as the square root of the variance.

Mean = 0 Standard Deviation = 1

Mean 0, standard deviation 1.

No. The standard deviation is the square root of the variance.

Square the standard deviation and you will have the variance.

US IQ standard Deviation is 16.

It is not. Every distribution has a standard deviation.

Standard deviation is a statistical concept and not applicable to concrete.

The answer depends on greater standard deviation that WHAT!

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