A restaurant wants to test a new in-store 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. 8 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 -159.13 with a standard deviation of 52.8803. Calculate a 90% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after. ( 1) (-193.8961, -124.3639) ( 2) (194.5511, -123.7089) 3) (-194.5511, -123.7089) ( 4) (-161.0246, -157.2354) ( 5) (-177.826, -140.434)