To model the number of individuals who will experience side effects among 390 adults taking the medication, we first need to understand the probability of experiencing side effects. Since approximately 7 percent of adults are expected to experience side effects, we can represent this in a simulation.
To find a suitable simulation method, we must ensure that the method accurately reflects this 7 percent probability. Here’s how to evaluate each option:
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A random number chart simulation with 100 numbers, where drawing a 23 indicates that side effects will be present.
Since 23 is one of 100 numbers, this indicates a 1 in 100 chance (1%) of drawing side effects. This does not accurately model the 7% chance. -
A spinner simulation with 14 equally spaced sections, with section 2 indicating that side effects will be present.
Each section represents 1/14, which is approximately 7.14%. This is close to the required probability. Thus, this option could work. -
A number cube simulation with a six-sided number cube, where rolling a 3 indicates that side effects will be present.
This represents a 1 in 6 chance (approximately 16.67%), which is too high to model a 7% chance accurately. -
A coin simulation, with heads indicating that side effects will be present.
This represents a 50% chance of side effects, which is far too high.
The best simulation among the provided options is the spinner simulation with 14 equally spaced sections, with section 2 indicating that side effects will be present. This option provides a probability that closely matches the desired 7%.