Answer:
2. The width of the confidence interval would be smaller.
Step-by-step explanation:
The confidence interval is the range of values around sample statistic, which are expected to contain actual population parameter. Â Confidence level is in percentage from, stating the probability that population parameter is in proposed confidence interval range.
A lower confidence level means that there is less certainty of population parameter being in the range, so the confidence interval range becomes narrower.