The IT Operations Center at a large corporation is interested in gaining more insight into its intranet website. Specifically, the IT manager would like to understand that when certain web pages (i.e., the Articles page, the FAQs page, or the Tutorials page) are accessed, what is the likelihood that the link to the Chat area will be clicked, and what is the likelihood that the link to the Phone area will be clicked. The Chat and Phone areas are located on the Contacts webpage. The Articles page contains general information about various user-related IT topics. The FAQs page contains commonly asked user questions and their associated answers. The Tutorials page contains in-depth tutorials on more complicated user-related topics. Each of these pages contains links to the Chat area and the Phone area on the Contacts page. The IT manager is interested in knowing if these pages (Articles, FAQs, and Tutorials) contain enough information so as not to necessitate the user to contact someone directly on the Contacts page to obtain additional information. Analysis The "Operations Analytics Website Case Study Data" file contains the data for this assignment. It is summarized as follows: WebsiteEntry: A record# field indicating a website entry occurrence ArticlesPage: 1=Articles Page accessed; 0= Articles Page not accessed FAQsPage: 1=FAQs Page accessed; 0= FAQs Page not accessed TutorialsPage: 1=Tutorials Page accessed; 0= Tutorials Page not accessed ContactsPageChatLi