3 Collecting Sample data) HW Score: \( 0 \%, 0 \) of 44 points A researcher selects every the type of sampling used (random, systematic, convenience, stratified, or cluster sampling) in the situation described below, 1.3 .9 of 4 Which type of sampling did the researcher use? Cluster sampling Stratified sampling Convenience sampling surveys the corresponding person. Systematic sampling Random sampling

To determine the type of sampling used, let’s break down these options! Cluster sampling involves dividing the population into groups (or clusters) and then randomly selecting some clusters. Stratified sampling means the population is divided into subgroups, and random samples are taken from each. Convenience sampling chooses individuals that are easiest to reach, while systematic sampling selects every nth person from a list. Random sampling gives each individual an equal chance of being selected. The key is identifying which method is best suited for your research goals and population. Always be cautious of common pitfalls! A common mistake is confusing stratified sampling with cluster sampling; they sound similar, but stratified focuses on specific subgroups while cluster samples whole groups. Additionally, relying on convenience sampling can introduce bias, as it doesn't represent the entire population. Be sure your selection method aligns with your research goals to avoid skewed results!