1) (-149.0362, -119.5538) O 2) (-161.707, -106.883) O 3) (-136.1545, -132.4355) 4) (161.707, -106.883) O 5) (-161.3173, -107.2727)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. 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 434.295 with a standard deviation of 44.2237. Calculate a 90% confidence interval to estimate the true average difference in nationwide sales quantity before the ad campaign and after