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 website and began selling its products over the Internet. Website sales have exceeded the company's expectations, and management is now considering strategies to increase sales even further. To learn more about the website 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 website, the number of website pages viewed, and the amount spent by each of the 50 customers are contained in the file named "Shoppers". Heavenly Chocolates would like to use the sample data to investigate the effect that the day of the week and the type of browser have on sales. Use the methods of descriptive statistics to summarize the data.
Present graphical and numerical summaries for the length of time the shopper spends on the website, 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.
Use analysis of variance to test for any significance differences due to the day of the week. Use a 0.05 level of significance.
Use analysis of variance to test for any significance differences due to the type of browser. Use a 0.05 level of significance.
Use inferences about individual treatment means where appropriate. What are your conclusions?