Question

Retail Sales. An online retailer is interested in representing some of its annual sales data in histograms (perhaps after transforming the data). If the following data (for different types of products) can be represented as a histogram, draw the histogram. If not, say why not. a) Product group A. 20% of the customers account for 75% of the sales. 20% of the customers account for 10% of the sales. 30% of the customers account for 10% of the sales. 30% of the customers account for 5% of the sales. b) Product group B. 45% of the customers spend < $1000. 15% of the customers spend ≥ $1000 and < $2000. 10% of the customers spend ≥ $2000 and < $3000. 30% of the customers spend ≥ $3000 c) Product group C. 25% of the customers spend ≥ $10 and < $100. 45% of the customers spend ≥ $100 and < $1000. 30% of the customers spend ≥ $1000 and < $10000.

Answer 1

B) Histogram for B

Customer Spend	Percentage
0-1000	45
1000-2000	15
2000-3000	10
>=3000	30

C)

Customer Spend	Percentage
10-100	25
100-1000	45
1000-10000	30

For B and C histogram is possible but for A we cannot draw the histogram because both x and y-axis data is in %. There is no proper x-axis. There is no proper x-axis defined like in B and C we know we have to compare the different range of money spend.