The option that would most likely lead to a biased sample is:
selecting female customers who purchase an item
This approach is biased because it only targets one gender and a specific group of customers (those who have made a purchase), potentially excluding male customers and those who may have visited the store but did not buy anything. The other options involve more random sampling methods or systematic approaches that are less likely to introduce bias.