old_contents: var pdxAirport = {
      minCustomers : 23,
      maxCustomers : 65,
      avgCookiesPerCust : 6.3,
  }
  
  var pioneerSquare = {
      minCustomers : 3,
      maxCustomers : 24,
      avgCookiesPerCust : 1.2,
  }
  
  var Powells = {
      minCustomers : 11,
      maxCustomers : 38,
      avgCookiesPerCust : 3.7,
  }
  
  var stJohns = {
      minCustomers : 20,
      maxCustomers : 38,
      avgCookiesPerCust : 2.3,
  }
  
  var waterfront = {
      minCustomers : 2,
      maxCustomers : 16,
      avgCookiesPerCust : 4.6,
  }
  
  
  // First, create a separate JS object literal (no constructor functions... yet) for each shop location that does the following:
  
  // Stores the min/max hourly customers, and the average cookies per customer, in object properties
  
  // Uses a method of that object to generate a random number of customers per hour. Objects/Math/random
  
  // Calculate and store the simulated amounts of cookies purchased for each hour at each location using average cookies purchased and the random number of customers generated
  
  // Store the results for each location in a separate array... perhaps as a property of the object representing that location
  
  // Display the values of each array as unordered lists in the browser
  
  // Calculating the sum of these hourly totals; your output for each location should look like this:
  
  // 1st and Pike
  
  // 6am: 16 cookies
  // 7am: 20 cookies
  // 8am: 35 cookies
  // 9am: 48 cookies
  // 10am: 56 cookies
  // 11am: 77 cookies
  // 12pm: 93 cookies
  // 1pm: 144 cookies
  // 2pm: 119 cookies
  // 3pm: 84 cookies
  // 4pm: 61 cookies
  // 5pm: 23 cookies
  // 6pm: 42 cookies
  // 7pm: 57 cookies
  // 8pm: 29 cookies
  // Total: 657 cookies
  // Display the lists on sales.html. We will be adding features to this application and working with its layout throughout the week.
new_contents: var pdxAirport = {
    minCustomers : 23,
    maxCustomers : 65,
    avgCookiesPerCust : 6.3,
    randomCust : function(){
      return (Math.floor(Math.random() * (this.maxCustomers - this.minCustomers)) + this.minCustomers);
    }
  };
  
  // var pioneerSquare = {
  //     minCustomers : 3,
  //     maxCustomers : 24,
  //     avgCookiesPerCust : 1.2,
  // }
  
  // var Powells = {
  //     minCustomers : 11,
  //     maxCustomers : 38,
  //     avgCookiesPerCust : 3.7,
  // }
  
  // var stJohns = {
  //     minCustomers : 20,
  //     maxCustomers : 38,
  //     avgCookiesPerCust : 2.3,
  // }
  
  // var waterfront = {
  //     minCustomers : 2,
  //     maxCustomers : 16,
  //     avgCookiesPerCust : 4.6,
  // }
  
  // First, create a separate JS object literal (no constructor functions... yet) for each shop location that does the following:
  
  // Stores the min/max hourly customers, and the average cookies per customer, in object properties
  
  // Uses a method of that object to generate a random number of customers per hour. Objects/Math/random
  
  // Calculate and store the simulated amounts of cookies purchased for each hour at each location using average cookies purchased and the random number of customers generated
  
  // Store the results for each location in a separate array... perhaps as a property of the object representing that location
  
  // Display the values of each array as unordered lists in the browser
  
  // Calculating the sum of these hourly totals; your output for each location should look like this:
  
  // 1st and Pike
  
  // 6am: 16 cookies
  // 7am: 20 cookies
  // 8am: 35 cookies
  // 9am: 48 cookies
  // 10am: 56 cookies
  // 11am: 77 cookies
  // 12pm: 93 cookies
  // 1pm: 144 cookies
  // 2pm: 119 cookies
  // 3pm: 84 cookies
  // 4pm: 61 cookies
  // 5pm: 23 cookies
  // 6pm: 42 cookies
  // 7pm: 57 cookies
  // 8pm: 29 cookies
  // Total: 657 cookies
  // Display the lists on sales.html. We will be adding features to this application and working with its layout throughout the week.
subject: add randomCust function