To determine which of the provided options describes a statistical question that would best be answered by an experiment, let's consider the nature of each question:
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Which brand of pre-workout supplements is purchased the most?
- This question is observational in nature. It is asking for data on purchases which can be gathered without manipulating variables or conducting an experiment.
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What is the most popular pre-workout supplement at a local gym?
- This question is also observational and would typically rely on surveys or observations rather than an experimental design.
An ideal statistical question that can be best answered by an experiment would involve the manipulation of variables to determine effects or differences. Examples might include:
- "Does Brand A of pre-workout supplements improve athletic performance more than Brand B?"
- "What is the impact of different amounts of pre-workout supplements on workout intensity?"
If you have to choose from the two options provided, neither is truly reflective of a statistical question that would best be addressed by an experiment. Nonetheless, if you were to refine your choices reflecting experimental design, it would likely involve direct comparison of effects or outcomes rather than simple queries about popularity or purchasing behavior.
Thus, if forced to pick one of the two, you would select the second one for the context of 'popularity', but understand that neither is best suited for an experimental approach.