What effect does increasing the sample size have on the size of a
interval? Explain.
(1 point)
Increasing the sample size decreases the size of the confidence interval.
Increasing the sample size means multiplying by a smaller z-score when
calculating the margin of error. This reduces the margin of error, which decreases
the size of the confidence interval.
Increasing the sample size increases the size of the confidence interval. Increasing
the sample size means dividing by a smaller number when calculating the margin
of error. This increases the margin of error, which increases the size of the
confidence interval.
Increasing the sample size increases the size of the confidence interval. Increasing
the sample size means multiplying by a larger z-score when calculating the margin
of error. This increases the margin of error, which increases the size of the
confidence interval.
Increasing the sample size decreases the size of the confidence interval.
Increasing the sample size means dividing by a larger number when calculating
the margin of error. This reduces the margin of error, which decreases the size of
the confidence interval.