The standard error for the sample was 0.5.
Standard error is defined as the measures of the preciseness of an estimate of a population mean. It can be calculated by dividing the sample standard deviation by the square root of the sample size.
SE = SD / √n
where SE = standard error
SD = sample standard deviation = 10
n = sample size = 400
Standard error multiply by a critical value at the confidence interval will give the margin of error.
To solve for the standard error, plug in the values to the formula.
SE = SD / √n
SE = 10 / √400
SE = 0.5
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