Suppose a researcher is interested in the shopping preferences of consumers at a local mall. Since he believes men and women have different preferences, the researcher decides to stratify the...

Extracted text: Suppose a researcher is interested in the shopping preferences of consumers at a local mall. Since he believes men and women have different preferences, the researcher decides to stratify the population by gender. From past data, he knows that roughly 60% of mall shoppers are female. He wants a sample of size 200. To get a proportional sample, he decides to sample 120 females and 80 males. To save time, he posts a sign in the mall to solicit volunteers. He includes 120 female volunteers and 80 male volunteers in his sample. Cluster sampling Stratified random sampling Quota sampling Convenience sampling