Question at position 21 During the morning announcements, students are asked to go out and vote for this year's Homecoming queen. At lunch, booths are set up for the students to fill out a ballot and place their ballot in the collection box. The student with the most votes wins. This is what type of sampling strategy?Voluntary ResponseStratifiedConvenienceSRSCluster

Question

BlackTom AI · Accepted Answer

Question context: a school is inviting students to vote for Homecoming queen via announcements and ballot booths, with the winner determined by the most votes. Now let's examine each answer option and assess its suitability.

Option 1: Voluntary Response
A voluntary response occurs when individuals choose to participate on their own, often after being invited to respond. In this scenario, students must opt in by going to the booths and submitting a ballot, which aligns with self-selection. This mechanism tends to produce biased results because those with stronger opinions or more motivation are more likely to participate.

Option 2: Stratified
Stratified sampling involves dividing the population into distinct subgroups (strata) and drawing samples from each stratum to ensure representation. There is no evidence of creating strata or sampling from each subgroup in the described process; votes are collected from anyone who participates, not from controlled subgroups, so this option doesn't fit.

Option 3: Convenience
Convenience sampling picks respondents who are easiest to reach or accessible. While the ballot booths are convenient and widely accessible on campus, the defining feature here is voluntary participation rather than merely being easy to reach. The act of choosing to vote when given the opportunity still reflects voluntary response behavior. If the scenario were about sampling people simply because they are nearby, convenience might be more applicable, but the key driver here is self-selection to vote.

Option 4: SRS (Simple Random Sampling)
Simple random sampling requires every member of the population to have an equal chance of selection, typically achieved through randomization. There is no random mechanism described that selects students from the entire population; instead, those who choose to vote participate, so this is not SRS.

Option 5: Cluster
Cluster sampling involves dividing the population into groups (clusters) and sampling entire clusters or randomly selecting clusters. The scenario does not involve selecting entire groups or clusters of students for voting; it simply collects ballots from those who participate, so this option is not applicable.

Summary of reasoning across options:
- The defining feature here is self-selection: students decide to participate by voting when given the opportunity, which typifies voluntary response sampling. The other options rely on deliberate structuring (stratified), accessibility without self-selection as the main driver (convenience but not aligned here), or randomization/cluster processes that are not described in the scenario.

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