Final answer:
Attributes sampling may be least likely to be used when the population has a specific pattern or behavior that is not easily captured by attributes, such as in studies involving animals that learn to seek out bait.
Step-by-step explanation:
In attributes sampling, you estimate a population parameter by examining specific attributes or characteristics of the items in the population. This type of sampling is commonly used when the population is large and it is not feasible to examine every item. However, there are cases where attributes sampling may not be suitable or least likely to be used.
The case where you would be least likely to use attributes sampling is when the population has a specific pattern or behavior that is not easily captured by attributes. For example, in studies involving animals that learn to seek out bait, using attributes sampling may underestimate the population size or fail to capture the true behavior of the animals.
In such cases, other sampling methods, such as simple random sampling or stratified sampling, may be more appropriate.