When Walmart conducts a survey where each employee has an equal chance of inclusion, what type of sample are they using?

Walmart is utilizing a simple random sample when each employee has an equal chance of inclusion in their survey. This sampling method ensures that every member of the population (in this case, employees) has the same probability of being chosen, which is crucial for obtaining a representative sample.

A simple random sample minimizes selection bias, allowing for findings that can be generalized to the entire population, which is particularly important in a large and diverse organization like Walmart. This method relies on randomization, ensuring that each potential participant is selected completely by chance, thereby enhancing the validity and reliability of the survey results.

Other sampling methods, such as purposive, convenience, or stratified sampling, do not provide the same level of equal chance for each individual and may introduce bias or fail to represent the population adequately.