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2006-11-12 22:30:25 · 4 answers · asked by bettydaos 1 in Science & Mathematics Mathematics

4 answers

standard deviation is one of measure of variability use in statistics which has the same unit as the given data and is equivalent ot the square root of the variance.

It measures how all the data varies. It indicates how the data in a distribution scatter or spread.

The lower the standard deviation, the closer are all the data around the mean.
That is, the data are not scattered and they are less heterogenuous, less variable.

The greater its value, the more the spreadness of the data around the mean.

For example,
Given:
A: 45,46,40,43,48,46
B:10,45,28,100,158,468

The standard deviation of the data A is 2.804757863
The standard deviation of the data B is 171.9400089

]since the statndard deviation of the data A is less that in B,
the data in A are closer to each other, compare to the data B.

2006-11-13 00:21:40 · answer #1 · answered by bhen 3 · 1 0

In probability and statistics, the standard deviation of a probability distribution, random variable, or population or multiset of values is defined as the square root of the variance.

The standard deviation is measured in the same units as the values of the population. For a population of distances in meters, the standard deviation is also measured in meters, whereas the variance is measured in square meters.

2006-11-12 23:00:07 · answer #2 · answered by Anonymous · 0 0

center-radius form
(x-h)^2 + (y-k)^2 = r^2
c(h,k)

2006-11-13 00:18:37 · answer #3 · answered by gen 2 · 0 0

http://mathworld.wolfram.com/StandardDeviation.html

2006-11-12 22:59:21 · answer #4 · answered by tor 4 · 0 0

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