1. Randomness: The spinner should be able to land on any given section or outcome with equal probability, ensuring that the probability model being tested is truly uniform.
2. Evenly divided sections: The spinner should have sections that are equally sized and distributed, to ensure that each outcome has an equal chance of being selected.
3. Well-balanced: The spinner should be well-balanced and free from any bias or tendency to favor certain outcomes over others.
4. Smooth spinning: The spinner should spin smoothly and consistently, without any irregularities that could affect the randomness of the outcomes.
5. Clear markings: The sections of the spinner should be clearly marked and easy to read, to ensure accurate recording of the outcomes.
6. Durable construction: The spinner should be made of sturdy materials that can withstand repeated use without losing its balance or functionality.
What attributes should a spinner have so it could be used to test a uniform probability model
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