Histogram of items purchased:
Bar 1: 3-4 items (frequency: 3)
Bar 2: 5-6 items (frequency: 2)
Bar 3: 7-8 items (frequency: 1)
Bar 4: 9-10 items (frequency: 2)
Bar 5: 11-12 items (frequency: 2)
Bar 6: 13-14 items (frequency: 2)
Bar 7: 15-16 items (frequency: 1)
To create a histogram, we first need to determine the number of bins.
A good rule of thumb is to use 5-10 bins, so we will use 6 bins in this case.
Next, we need to determine the width of each bin.
The range of the data is 18 - 3 = 15, so we can divide this by 6 to get a bin width of 2.5.
Now, we can start counting the number of data points in each bin.
The following table shows the results:
Bin Range Frequency
1 3 - 5.5 3
2 5.5 - 8 2
3 8 - 10.5 2
4 10.5 - 13 3
5 13 - 15.5 2
6 15.5 - 18 2
The histogram shows that most customers purchased between 3 and 13 items, with a peak at 13 items.
There were also a few customers who purchased either 4 or 18 items.