Want this question answered?
The mean and standard deviation often go together because they both describe different but complementary things about a distribution of data. The mean can tell you where the center of the distribution is and the standard deviation can tell you how much the data is spread around the mean.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2
It tells you how much variability there is in the data. A small standard deviation (SD) shows that the data are all very close to the mean whereas a large SD indicates a lot of variability around the mean. Of course, the variability, as measured by the SD, can be reduced simply by using a larger measurement scale!
i dont know...... it means
The standard deviation tells us nothing about the mean.
The mean and standard deviation often go together because they both describe different but complementary things about a distribution of data. The mean can tell you where the center of the distribution is and the standard deviation can tell you how much the data is spread around the mean.
How widely spread out, or tightly concentrated about the mean it is.
The smaller the standard deviation, the closer together the data is. A standard deviation of 0 tells you that every number is the same.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2
the variation of a set of numbrs
1.41
You cannot. If you are told the standard deviation of a variable there is no way to tell whether that was derived from grouped or ungrouped data.
It tells you how much variability there is in the data. A small standard deviation (SD) shows that the data are all very close to the mean whereas a large SD indicates a lot of variability around the mean. Of course, the variability, as measured by the SD, can be reduced simply by using a larger measurement scale!
it tells you
It means that the data are spread out around their central value.