Which sampling method would likely lead to a biased sample for StitchFix when determining customer occupations?

The method of Convenient or Voluntary Sampling is likely to lead to a biased sample when StitchFix is determining customer occupations because it relies on individuals self-selecting to participate. This can result in overrepresentation of certain occupations or demographics, as those who feel strongly about their experiences—whether positive or negative—are more likely to respond. As a result, the sample may not accurately reflect the overall customer base, leading to skewed insights that do not generalize well to all customers.

In contrast, methods like Stratified Random Sampling, Systematic Sampling, and Simple Random Sampling are designed to give each customer an equal chance of being selected, which reduces the risk of bias and provides a more representative sample. Stratified Random Sampling involves dividing the population into strata and sampling from each, ensuring diversity within the sample. Systematic Sampling systematically selects members of the population at fixed intervals, while Simple Random Sampling selects members randomly, both methods aiming for a fair representation of the entire population.