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A political polling agency wants to take a random sample of registered voters and ask whether or not they will vote for a certain candidate. One plan is to select 400 voters, another plan is to select 1,600 voters.If the study were conducted repeatedly (selecting different samples of people each time), which one of the following would be true regarding the resulting sample proportions of "yes" responses? Different sample proportions would result each time, but for sample size 400 they would be centered (have their mean) at the true population proportion, whereas for sample size 1,600 they would not. Different sample proportions would result each time, but for either sample size, they would be centered (have their mean) at the true population proportion. Different sample proportions would result each time, but for sample size 1,600 they would be centered (have their mean) at the true population proportion, whereas for sample size 400 they would not. For either sample size, using the same size each time, as long as the samples are drawn with replacement, they would be centered (have a mean) at 0.

Question

A political polling agency wants to take a random sample of registered voters and ask whether or not they will vote for a certain candidate. One plan is to select 400 voters, another plan is to select 1,600 voters.If the study were conducted repeatedly (selecting different samples of people each time), which one of the following would be true regarding the resulting sample proportions of "yes" responses? Different sample proportions would result each time, but for sample size 400 they would be centered (have their mean) at the true population proportion, whereas for sample size 1,600 they would not. Different sample proportions would result each time, but for either sample size, they would be centered (have their mean) at the true population proportion. Different sample proportions would result each time, but for sample size 1,600 they would be centered (have their mean) at the true population proportion, whereas for sample size 400 they would not. For either sample size, using the same size each time, as long as the samples are drawn with replacement, they would be centered (have a mean) at 0.

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Solution

The correct answer is: Different sample proportions would result each time, but for either sample size, they would be centered (have their mean) at the true population proportion.

This is because the sample proportion is an unbiased estimator of the population proportion. This means that if we were to take many samples and average the sample proportions, the average would be very close to the population proportion, regardless of the sample size.

However, the variability of the sample proportion decreases as the sample size increases. This means that if we were to take many samples, the sample proportions would be more tightly clustered around the population proportion for a larger sample size (1,600) than for a smaller sample size (400).

So, while both sample sizes would have their means at the true population proportion, the sample proportions would be more consistent (less variable) for the larger sample size.

This problem has been solved

Similar Questions

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