I would love to check my answers, this is question 2.

Background: Sounders Sweets is a relatively new company that has recently opened up a web site to try to increase its sales and increase its brand recognition in the Seattle Area. 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 random sample of 50 Sounders Sweets 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 SEATTLE GRIGRALES SEATTLE CROGLATES COCONUTH CE ESPR the amount spent by each of the 50 customers are contained in the data file. Sounders Sweets would like to use the sample data to try to better understand their next business moves. What You Will Do: Questions 1&2: You will start by looking at some summary statistics for some of the variables in the data set. You may find it helpful to use the "Group By" feature in the options screen. Question 2: You will use contingency tables to analyze how customers behave. Customer Day 1 Mon Browser Safari Time (min) Pages Viewed Amount Spent ($) 12 6 59.5 2 Wed Chrome 18.5 5 86.9 3 Mon Internet Explorer 7.5 3 27.7 4 Tue Firefox 11.4 1 37.7 5 Wed Safari 12.3 2 63.3 6 Sat Firefox 10.5 4 65.8 7 Sun Internet Explorer 10.4 2 32 8 Fri Firefox 4.3 6 59 9 Wed Firefox 12.7 1 62.9 10 Tue Safari 23.7 5 75.7 11 Sat Chrome 13.3 8 52 12 Sun Firefox 15.3 7 40.1 13 Sun Chrome 10.7 6 57.2 14 Mon Firefox 23.4 12 164.5 15 Fri Internet Explorer 8.4 4 81.1 16 Thu Safari 10.6 4 66.2 17 Thu Safari 22.3 6 98.6 18 Mon Internet Explorer 15 8 134.4 19 Fri Chrome 6.6 5 70.5 20 Wed Safari 15.1 6 26.7 21 Sat Firefox 15.3 7 80.6 22 Tue Safari 10.2 8 73.4 23 Sun Internet Explorer 7 2 31.7 24 Tue Firefox 9 1 49.7 25 Fri Firefox 9.6 26 Wed Safari 11 27 Sat Internet Explorer 17.9 28 Sat Firefox 6 29 Fri Firefox 33.9 30 Mon Chrome 10.8 31 Thu Safari 7.1 5263 F F 4 51.7 43.5 26.7 31.9 11 154.3 11 114.3 48.2 32 Fri Firefox 18 33 Sun Internet Explorer 10.8 34 Fri Safari 10.1 956 139.4 29.2 53.1 35 Tue Safari 6.8 4 72.8 36 Mon Firefox 17.5 6 52 37 Thu Firefox 5.2 3 83.2 38 Sat Safari 10.3 6 52.6 39 Tue Internet Explorer 11.6 0 33.1 40 Wed Safari 6 3 31.5 Check Answer 41 Tue Chrome 14.9 2 67.4 42 Sat Internet Explorer 18.1 43 Fri 44 Mon Firefox Safari 11.8 79 6 63.1 2 65.4 12.3 45 Mon Internet Explorer 31.1 169 107.7 7 107.2 46 47 48 Fri Fri Firefox 13.7 Thu Internet Explorer 9.1 Safari 9.7 49 Mon Chrome 8.3 50 Fri Safari 12.4 51352 62.2 18.8 101.2 45.2 100.8 Your team continues to look at some summary stats for all three quantitative variables (Time, Pages Viewed, and Amount Spent) broken out by Day of the Week. After you generate these summary statistics, report the following: 1) Your team looks at how much money buyers spend on the site for each day of the week. Identify which day of the week has the largest median Amount Spent (in dollars) and report that median value here. Answer: $ (Report your answer rounded to 2 decimal places) 2) Your team looks at how much time buyers spend on the site each day of the week. Identify which day of the week has the smallest mean time spent (in minutes) and report that mean value here. Answer minutes (Report your answer rounded to 2 decimal places) 3) Your team looks at how many page views buyers have, and wants to know which day of the week has the highest mean number of page views. Identify which day of the week has the largest mean value of page views and report that mean value here: Answer Question Help: Post to forum (Report your answer rounded to 2 decimal places)