The option that would most likely lead to a biased sample is:
selecting female customers who purchase an item.
This method does not represent the entire customer base, as it excludes male customers and those who may not purchase an item during the survey period, thus introducing bias based on gender and purchase behavior. The other options involve more random sampling methods that are likely to yield a more representative sample of the store's customer base.