3. Clothing items sold over the internet are often returned because of incorrect sizing. An ecommerce clothing retailer wanted to compare two sizing charts to see if either one might help reduce returns. Their current sizing chart is referred to as A, and the new sizing chart is labeled B. The retailer took two independent, random samples of customers. The first random sample had 575 customers, and was given Sizing Chart A when shopping. Of those 575 customers, 160 returned what they bought. The second random sample had 655 customers, and was given Sizing Chart B when shopping. Of those 655 customers, 134 returned what they bought. Perform and interpret a hypothesis test to determine whether the population of customers using Sizing Chart B had a lower proportion of returns than those who used Sizing Chart A. Use the population of customers using Sizing Chart B as Population 1 and a significance level of = 0.01 . Does this test suggest that Sizing Chart B is a better option than A for the company