A local store wants to find out if a new item is liked by their customers by asking the first 10 customers that enter. This is an example of what sampling method?

The sampling method described in the scenario is indeed convenient sampling. This approach involves selecting individuals who are easiest to reach or sample without any structured or random selection process. In this case, the store is asking the first 10 customers who enter, which means they are not ensuring a representative sample of the entire customer base. Rather, they are relying on the availability of those customers, which may introduce bias.

Convenient sampling is commonly used for its simplicity and ease of data collection. However, it's essential to remember that while it is practical, this method may not adequately capture the preferences of all customers, as it may miss out on differing opinions that might be present among customers who come at different times or who are not as accessible.

The other sampling methods listed, such as random sampling, stratified sampling, and systematic sampling, all involve more structured and potentially representative approaches to collecting data, differing significantly in how the samples are selected compared to convenient sampling.