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 o 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 make, the type of browser the customer used, the time spent on the web-site, the number of web pages viewed, and the amount spent by each of the 50 customers are contained in the excel template file.

Heavenly Chocolates would like to use the sample data to determine whether online shoppers who spend more time and view more pages also spend more money during their visit to the website. The company would also like to investigate the effect that the day of the week and the type of browser have on sales. Use the methods of data visualization and descriptive statistics to learn about the customers who visit the Heavenly Chocolates website.

1. Use the Descriptive Statistics tool in Data Analysis add-ins to summarize the length of time the shopper spends on the web site, the number of pages viewed, and the amount spend per transaction.

2. Develop frequency distribution and draw histogram chart for the length of time the shopper spends on the web site, the number of pages viewed, and the amount spend per transaction.

3. Summarize the frequency, the total dollars spent, and the mean amount spent per transaction for each day of week (Hint: use pivot table). Discuss the observations you can make about Heavenly Chocolates' business based on the day of the week.

4. 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.