it tells you
1.41
The standard deviation tells us nothing about the mean.
It means that the data are spread out around their central value.
Not possible to tell you without knowing how many students' there are, and what distribution you wish to use (i.e normal distribution, t-distribution etc...)
i dont know...... it means
ask your mom they know more than u
It means that particular observation is close to the population [or sample] mean.
it tells you
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.
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.
The mean deviation is a measure of dispersion that calculates the average absolute difference between each data point and the mean. One advantage of mean deviation is that it considers every data point in the calculation, providing a more balanced representation of the data spread. However, a disadvantage is that it can be sensitive to outliers, as it does not square the differences like the variance does in standard deviation, making it less robust in the presence of extreme values.
The standard deviation tells us nothing about the mean.
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 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!
standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2