It allows you to understand, or comprehend the average fluctuation to the
average. example: the average height for adult men in the United States is about
70", with a standard deviation of around 3". This means that most men (about
68%, assuming a normal distribution) have a height within 3" of the mean (67"-
73"), one standard deviation, and almost all men (about 95%) have a height
within 6" of the mean (64"-76"), two standard deviations.
In summation standard deviation allows us to see the 'average' as a whole.
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It helps understand the variability in a set of data. Specifically it helps you to see how close values in your data set are to the mean.
The standard deviation of the population. the standard deviation of the population.
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.
Yes