A restaurant wants to test a new instore marketing scheme in a small number of stores before rolling it out nationwide. The new ad promotes a premium drink that they want to increase the sales of. 9 locations are chosen at random and the number of drinks sold are recorded for 2 months before the new ad campaign and 2 months after. The average difference in the sales quantity (after - before) is -69.79 with a standard deviation of 31.0484. Calculate a 99% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after. 0 1) (-73.1454, ~66.4346) O 2) (104.5165, 35.0635) O 3) (-80.1395, 59.4405) 0 4) (-103.4241,-36.1559) CO 5) (-104.5165, -35_0635)