Final answer:
The sample size of 200 would lead to the confidence interval with the shortest width.
Step-by-step explanation:
To determine which sample size would lead to the confidence interval with the shortest width, we need to understand that a larger sample size typically results in a narrower confidence interval. This is because as the sample size increases, the standard error decreases, leading to a more precise estimate of the population parameter.
Therefore, out of the given options, the sample size of 200 would lead to the confidence interval with the shortest width.