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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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Q: What is standard deviation?

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

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

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

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.

The standard deviation is 0.

The standard deviation in a standard normal distribution is 1.

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.

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.

Yes

Standard deviation is a measure of the spread of data.

Exactly as in the question: standard deviation!

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

difference standard deviation of portfolio

Standard deviation of a single event is 0.

No.

Standard deviation can never be negative.

Standard deviation is the square root of the variance. Therefore, the standard deviation is the sqrt 36 or 6.

Mean 0, standard deviation 1.

A large standard deviation means that the data were spread out. It is relative whether or not you consider a standard deviation to be "large" or not, but a larger standard deviation always means that the data is more spread out than a smaller one. For example, if the mean was 60, and the standard deviation was 1, then this is a small standard deviation. The data is not spread out and a score of 74 or 43 would be highly unlikely, almost impossible. However, if the mean was 60 and the standard deviation was 20, then this would be a large standard deviation. The data is spread out more and a score of 74 or 43 wouldn't be odd or unusual at all.

No. A small standard deviation with a large mean will yield points further from the mean than a large standard deviation of a small mean. Standard deviation is best thought of as spread or dispersion.

The standard deviation if the data is a sample from a population is 7.7115; if it is the population the standard deviation is 7.0396.

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

the sample standard deviation