Do good smells bring good business? Businesses know that customers often respond to background music. Do...

  

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Do good smells bring good business? Businesses know that customers often respond to background music. Do they also respond to odors? Nicolas Guéguen and his colleagues studied this question. in a small pizza restaurant in France on Saturday evenings in May. On one evening, a relaxing lav- ender odor was spread through the restaurant; on another evening, a stimulating lemon odor; a third evening served as a control, with no odor. The three evenings were comparable in many ways (weather, customer count, and so on), so we are willing to regard the data as independent SRSs from spring Saturday evenings at this restaurant. Table 27.4 contains data on how long (in minutes) customers stayed in the restaurant on each of the three evenings. 18 ODORS (a) Make an appropriate graph comparing the customer times for each evening. Do any of the distributions show outliers, strong skewness, or other clear deviations from Normality? (b) Do a complete analysis to see whether the groups differ in the average amount of time spent in the restaurant. Follow the four-step process in your work. Did you find anything surprising? ce: Comparing Several Means TABLE 27.4 TIME (MINUTES) THAT CUSTOMERS REMAIN IN A RESTAURANT WHEN EXPOSED TO ODORS LAVENDER ODOR 89 137 93 76 98 109 94 105 116 88 109 92 124 95 78 88 108 103 85 107 126 114 106 105 129 121 109 104 104 73 60 68 69 98 103 107 LEMON ODOR 112 74 75 94 63 94 96 88 105 87 109 93 83 108 56 NO ODOR 79 106 72 121 115 73 107 92 118 108 102 108 106 97 101 97 101 89 83 106 88 91 90 113 97 92 84 91 84 87 101 72 76 75 92 96 86 ha Do good smells bring good business? Businesses know that customers often respond to background music. Do they also respond to odors? Nicolas Guéguen and his colleagues studied this question. in a small pizza restaurant in France on Saturday evenings in May. On one evening, a relaxing lav- ender odor was spread through the restaurant; on another evening, a stimulating lemon odor; a third evening served as a control, with no odor. The three evenings were comparable in many ways (weather, customer count, and so on), so we are willing to regard the data as independent SRSs from spring Saturday evenings at this restaurant. Table 27.4 contains data on how long (in minutes) customers stayed in the restaurant on each of the three evenings. 18 ODORS (a) Make an appropriate graph comparing the customer times for each evening. Do any of the distributions show outliers, strong skewness, or other clear deviations from Normality? (b) Do a complete analysis to see whether the groups differ in the average amount of time spent in the restaurant. Follow the four-step process in your work. Did you find anything surprising? ce: Comparing Several Means TABLE 27.4 TIME (MINUTES) THAT CUSTOMERS REMAIN IN A RESTAURANT WHEN EXPOSED TO ODORS LAVENDER ODOR 89 137 93 76 98 109 94 105 116 88 109 92 124 95 78 88 108 103 85 107 126 114 106 105 129 121 109 104 104 73 60 68 69 98 103 107 LEMON ODOR 112 74 75 94 63 94 96 88 105 87 109 93 83 108 56 NO ODOR 79 106 72 121 115 73 107 92 118 108 102 108 106 97 101 97 101 89 83 106 88 91 90 113 97 92 84 91 84 87 101 72 76 75 92 96 86 ha