Heavenly Chocolates manufactures and sells quality chocolate products at its plant and retail store located in Saratoga Springs, New York. Two years ago, the company developed a Web site and began selling its products over the Internet. Web site sales have exceeded the company's

expectations, and management is now considering strategies to increase sales even further. To learn more about the Web site customers, a sample of 50 Heavenly Chocolate transactions was selected from the previous month's sales. Data showing the day of the week each transaction was made, the type of browser the customer used, the time spent on the Web site, the number of Web site pages viewed, and the amount spent by each of the 50 customers are contained in the file named 'HeavenlyChocolates.xls'.

1.Use the methods of descriptive statistics to learn about the customers who visit the Heavenly Chocolates Web site. Include the following in your report.

2. To be continued

Graphical and numerical summaries for the length of time the shopper spends on the Web site, the number of pages viewed, and the mean amount spent per transaction. Discuss what you learn about Heavenly Chocolates' online shoppers from these numerical summaries.

Summarize the frequency, the total dollars spent, and the mean amount spent per transaction for each day of week. What observations can you make about Heavenly Chocolates' business based on the day of the week? Discuss.

Summarize the frequency, the total dollars spent, and the mean amount spent per transaction for each type of browser. What observations can you make about Heavenly Chocolate's business based on the type of browser? Discuss.

Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the time spent on the Web site and the dollar amount spent. Use the horizontal axis for the time spent on the Web site. Discuss.

Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the number of Web site pages viewed and the amount spent. Use the horizontal axis for the number of Web site pages viewed. Discuss.

Develop a scatter diagram, and compute the sample correlation coefficient to explore the relationship between the time spent on the Web site and the number of pages viewed. Use the horizontal axis to represent the number of pages viewed. Discuss.

\fCustomer Day Browser Time (min) Pages Viewed Mon Chrome 12.0 4 A W N Wed Other 19.5 Mon Chrome 8.5 Tue Firefox 11.4 NA Wed Chrome 11.3 A Sat Firefox 10.5 6 Sun Chrome 11.4 8 Fri Firefox 4.3 Firefox ON Wed 12.7 10 Tue Chrome 24.7 11 Sat Other 13.3 12 Sun Firefox 14.3 13 Sun Other 11.7 14 Mon Firefox 24.4 10 15 Fri Chrome 8.4 16 Thu Chrome 9.6 17 Thu Chrome 23.3 18 Mon Chrome 14.0 - JAW 19 Fri Other 5.6 20 Wed Chrome 15.1 21 Sat Firefox 16.3 UI UI A 22 Tue Chrome 10.2 23 Sun Chrome 8.0 24 Tue Firefox 8.0 25 Fri Firefox 9.6 W N wa 26 Wed Chrome 11.0 IN 27 Sat Chrome 16.9 28 Sat Firefox 6.0 A UI 29 Fri Firefox 32.9 10 30 Mon Other 11.8 31 Thu Chrome 7.1 32 Fri Firefox 18.0 8 33 Sun Chrome 11.8 34 Fri Chrome 9.1 35 Tue Chrome 7.8 36 Mon Firefox 16.5 UI UI W A 37 Thu Firefox 6.2 38 Sat Chrome 11.3 39 Tue Chrome 10.6 40 Wed Chrome 5.0 UINA A 41 Tue Other 15.9 A 1 42 Sat Chrome 18.1 43 Fri Firefox 10.8 44 Mon Chrome 13.3 45 Mon Chrome 30.1 46 Fri Firefox 13.7 47 Thu Chrome 8.1 48 Fri Chrome 9.7 UINAa 49 Mon Other 7.3 50 Fri Chrome 13.4