Use the contingency table you constructed in Module 2 to determine if there is evidence of a significant difference between proportions of males and females who enjoy shopping for clothing at the 0.01 level of significance. Determine the p-value in (a) and interpret its meaning. A sample of shoppers was selected and asked questions regarding consumer behavior. One of the questions asked was "Do you enjoy shopping for clothing?" Information regarding the responses is below: Total Responses: 500 Males: 136 responded "yes" and 104 responded "no" Females: 224 responded "yes" and 36 responded "no" Construct a contingency table summarizing the above results and answer the following questions: r Yes No Total Males 136 104 240 Females 224 36 260 Total 360 140 500 1. What is the probability a shopper likes to shop for clothing? 72% 2. Given a shopper is male, what is the probability the shopper likes to shop for clothing? 57% 3. Given a shopper is male, what is the probability the shopper does not like to shop for clothing? 43% 4. Given a shopper is female, what is the probability a shopper does not like to shop? 14% Football players trying out for the NFL are given the Wonderlic intelligence test. This data file (xlsx) contains the average Wonderlic score of those players and th School Stanford Purdue California UCLA Oregon Wisconsin Iowa Oregon State Nebraska Notre Dame Boston College Colorado Michigan Virginia Texas A & M Florida Ohio State Penn State Virginia Tech Southern California West Virginia Arizona State Kansas State Georgia Texas North Carolina State Florida State Oklahoma North Carolina Arkansas Auburn LSU Clemson Alabama South Carolina Tennessee Michigan State Miami (Florida) Wonderlic Graduation% 28.8 25.3 25.2 24.0 23.5 23.2 23.0 22.8 22.6 22.5 22.0 21.8 21.7 21.5 21.0 20.8 20.8 20.7 20.7 20.3 20.3 20.2 19.8 19.8 19.7 19.6 19.4 19.0 18.9 18.6 18.5 18.5 18.3 18.2 17.9 17.7 16.6 16.3 85 63 48 55 68 56 58 44 63 77 78 43 57 75 50 42 52 74 58 58 46 44 61 53 34 42 49 40 53 35 48 42 51 49 54 38 41 57