Answered

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When computing standard error, if the sample size increases while the variability remains the same, then the standard error:
A) decreases
B) increases
C) remains the same
D) is about average
E) none of the above; there is no such thing as standard error

Sagot :

If the sample size increases while the variability remains the same, then the standard error decreases.

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

n = sample size

Variability refers to the statistical dispersion of data which is expressed through the range, variance, or standard deviation.

Increasing the sample size, n, while having the same variability, will result to a lower value for the standard error.

Learn more about standard error here: brainly.com/question/22377370

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