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QUESTION 4
You and a friend want to create a confidence interval for the proportion of undergraduates at a college who favor eliminating evening exams.
Your friend will choose a simple random sample of 250 students for their confidence interval.
If you choose a simple random sample of 1000 students, your interval will have
A. approximately the same estimate but a smaller margin of error.
OB. approximately the same estimate but a larger margin of error.
C. a smaller estimate and a smaller margin of error.
D. a larger estimate but a smaller margin of error.
E. a larger estimate but a larger margin of error.

Sagot :

Using a confidence interval of proportions, it is found that the correct option is:

A. approximately the same estimate but a smaller margin of error.

In a sample with a number n of people surveyed with a probability of a success of [tex]\pi[/tex], and a confidence level of [tex]\alpha[/tex], we have the following confidence interval of proportions.

[tex]\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]

In which z is the z-score that has a p-value of [tex]\frac{1+\alpha}{2}[/tex].

The margin of error is given by:

[tex]M = z\sqrt{\frac{\pi(1-\pi)}{n}}[/tex]

  • From this, it is taken that the margin of error is inversely proportional to the sample size, hence, increasing the sample from 250 to 1000 students, the margin of error will be smaller.

The sample size has no bearing on the estimate, hence, it stays the same, and option A is correct.

A similar problem is given at https://brainly.com/question/15043877

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