177k views
2 votes
How large a sample n would you need to estimate p with margin of error 0.04 with 95% confidence? Assume that you don’t know anything about the value of p . 1037 256 601 423

User Rajashree
by
4.9k points

1 Answer

3 votes

Answer:


n=(\hat p (1-\hat p))/(((ME)/(z))^2) (b)

Since we don't know about p we can assume
\hat p =0.5. And replacing into equation (b) the values from part a we got:


n=(0.5(1-0.5))/(((0.04)/(1.96))^2)=600.25

And rounded up we have that n=601

Explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".


\hat p estimation for the sample proportion

n sample size selected

Confidence =0.95 or 95%

The population proportion have the following distribution


p \sim N(p,\sqrt{(\hat p(1-\hat p))/(n)})

Solution to the problem

In order to find the critical values we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by
\alpha=1-0.95=0.05 and
\alpha/2 =0.025. And the critical values would be given by:


z_(\alpha/2)=-1.96, z_(1-\alpha/2)=1.96

The margin of error for the proportion interval is given by this formula:


ME=z_(\alpha/2)\sqrt{(\hat p (1-\hat p))/(n)} (a)

And on this case we have that
ME =\pm 0.04 and we are interested in order to find the value of n, if we solve n from equation (a) we got:


n=(\hat p (1-\hat p))/(((ME)/(z))^2) (b)

Since we don't know about p we can assume
\hat p =0.5. And replacing into equation (b) the values from part a we got:


n=(0.5(1-0.5))/(((0.04)/(1.96))^2)=600.25

And rounded up we have that n=601

User Praveen Kumar K R
by
5.1k points