95% CI for the population proportion

In summary, the conversation discusses finding a 95% confidence interval for the population proportion of professional tennis players who earn more than $2 million a year. The interval is given as [0.82, 0.88] and the sample size used was approximately 545. The conversation also includes a calculation to find the sample size, which results in an incorrect answer of 11.4 and the correct answer is A) 545.
  • #1
okep
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Homework Statement



A 95% CI for the population proportion of professional tennis players who earn more than $2 millions a year is found to be [0.82, 0.88]. Given this information the sample size that was used was approximately A) 545 B) 382 C) 233 D) 378
Answer: A) 545


Homework Equations



Z = 1.96 for 95% CI
+/- Z[S/sqrt(n)] = 0.03


The Attempt at a Solution


+/- 1.96 [0.03)/sqrt(n) = 0.03
sqrt(n) = 1.96(2)/0.03
sqrt(n) = 130
n = 11.4 <-- this incorrect.

The answer should be A) 545. But where did i go wrong? How do i solve this problem? Thanks.
 
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  • #2
first use the fact that .03 = 2 *(1.96)*sqrt(p(1-p)/n) now solve for n and plug in the two bounds for the CI given. you will find that n lies between 450 and 630 hence the answer.
 

What is a 95% CI for the population proportion?

A 95% confidence interval (CI) for the population proportion is a range of values that is likely to contain the true proportion of a characteristic in a larger population, with a 95% level of confidence.

How is a 95% CI for the population proportion calculated?

A 95% CI for the population proportion is typically calculated using the sample proportion, sample size, and a margin of error determined by a desired level of confidence.

Why is a 95% level of confidence commonly used for a CI for the population proportion?

A 95% level of confidence is commonly used because it provides a good balance between precision and accuracy, meaning that the interval has a high likelihood of capturing the true population proportion while also being narrow enough to be useful.

What does it mean if the 95% CI for the population proportion includes the value 0 or 1?

If the 95% CI for the population proportion includes the value 0, it means that there is a possibility that the true population proportion is 0, indicating that the characteristic is not present in the population. Similarly, if the CI includes the value 1, it means that there is a possibility that the true population proportion is 1, indicating that the characteristic is present in the entire population.

Can a 95% CI for the population proportion be interpreted as a probability?

No, a 95% CI for the population proportion cannot be interpreted as a probability. It is a range of values that is likely to contain the true population proportion, not a probability distribution of possible values.

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