Option b is correct: It is an estimate of the standard deviation.
The standard error in statistics is used to determine the accuracy of the mean in a sample. It measures the mean of the sample compared to the mean of the entire population.
the formula to find the standard error is given by
[tex]SE = \frac{s}{\sqrt{N} }[/tex]
where SE is the standard error
s = standard deviation
N = number of samples
Option a is wrong because the standard error can not take a negative value
Option c is wrong because the standard error is not the square root of variance. Standard deviation is.
Option d is wrong because it does not complicate the computation of confidence intervals. Instead it computes it.
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