Yes, depending on the data being studied. Standard deviation can be thought of as the magnitude of the average distance between the data points and their mean.
It is mean + 2*standard deviation.
It is 10.
The standard deviation of the population. the standard deviation of the population.
The standard deviation is 0.
The mean alone is not enough to provide an answer.
If the standard deviation of 10 scores is zero, then all scores are the same.
[10, 10, 10, 10, 10, 10, 10] has a mean of 10 and a standard deviation of zero.
It is mean + 2*standard deviation.
Mean: 26.33 Median: 29.5 Mode: 10, 35 Standard Deviation: 14.1515 Standard Error: 5.7773
Standard Deviation = (principal value of) the square root of Variance. So SD = 10.
Variance = 17.9047619 Standard Deviation = 4.23140188
Since the standard deviation is zero, the scores are all the same. And, since their mean is 10, they must all be 10.
The deviation is 1694.
.The test has a mean, or average, standard score of 100 and a standard deviation of 16 (subtests have a mean of 50 and a standard deviation of 8). The standard deviation indicates how far above or below the norm the subject's score is.
The standard deviation is the standard deviation! Its calculation requires no assumption.
It is 10.
The standard deviation of the population. the standard deviation of the population.