Question

Which of the following is true when a 95% confidence interval for a population proportion is...

Which of the following is true when a 95% confidence interval for a population proportion is changed to a 99% confidence interval, with all other parts of the interval remaining constant? Clear Detailed Work Please! Thank you for your hard work!

One of these 4 options is correct:

A. interval size increases by 4%
B. interval size decreases by 4%
C. interval size increases by 31%
D. interval size decreases by 31%

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A. which confidence interval is wider? The 95% confidence interval or the 99% confidence interval? difference...
A. which confidence interval is wider? The 95% confidence interval or the 99% confidence interval? difference for both confidence intervals: 0.109 95% CI for difference: (-0.123, 0.340) 99% CI for difference: (-0.199, 0.416) B. Given an arbitrary data set, is there a general relationship between confidence level and the width of the confidence interval? Explain. Please make the answers to parts A and B detailed and easy to read and follow, thank you :)
Which of the following statements is true? The 95% confidence interval is wider than the 99%...
Which of the following statements is true? The 95% confidence interval is wider than the 99% confidence interval. The ONLY way to reduce the width of a confidence interval is to reduce the confidence level. The required sample size for a population mean is ONLY dependent on population variance. Given population variance and sampling error, higher confidence level results in larger sample size.
Increasing the confidence-interval level from .95 to .99 a. increases the likelihood of including the population...
Increasing the confidence-interval level from .95 to .99 a. increases the likelihood of including the population mean within its limits b. decreases the likelihood of including the population mean within its limits c. increases the number of degrees of freedom d. none of these, since a confidence interval may never include the true population mean
Construct a 95​% confidence interval to estimate the population proportion with a sample proportion equal to...
Construct a 95​% confidence interval to estimate the population proportion with a sample proportion equal to 0.60 and a sample size equal to 450. LOADING... Click the icon to view a portion of the Cumulative Probabilities for the Standard Normal Distribution table. A 95​% confidence interval estimates that the population proportion is between a lower limit of nothing and an upper limit of nothing.
Construct a 95% confidence interval of the population proportion using the given information. (Please answer parts...
Construct a 95% confidence interval of the population proportion using the given information. (Please answer parts a. and b.) x= 90 n=300
1. Develop 90 %, 95 %, and 99% confidence intervals for population mean (µ) when sample...
1. Develop 90 %, 95 %, and 99% confidence intervals for population mean (µ) when sample mean is 10 with the sample size of 100. Population standard deviation is known to be 5. 2. Suppose that sample size changes to 144 and 225. Develop three confidence intervals again. What happens to the margin of error when sample size increases? 3. A simple random sample of 400 individuals provides 100 yes responses. Compute the 90%, 95%, and 99% confidence interval for...
1 - Which of the following statements is true regarding a 95% confidence interval? Assume numerous...
1 - Which of the following statements is true regarding a 95% confidence interval? Assume numerous large samples are taken from the population. a. In 95% of all samples, the sample proportion will fall within 2 standard deviations of the mean, which is the true proportion for the population. b. In 95% of all samples, the true proportion will fall within 2 standard deviations of the sample proportion. c. If we add and subtract 2 standard deviations to/from the sample...
Which of the following statements is true about the confidence interval for a population proportion? Group...
Which of the following statements is true about the confidence interval for a population proportion? Group of answer choices: (A) It is equal to the population proportion plus or minus a calculated amount called the standard error. (B) It is equal to the sample proportion plus or minus a calculated amount called the margin of error. (C) The confidence interval for a proportion will always contain the true population proportion. (D) The confidence interval for a proportion does not need...
A 95% confidence interval for a proportion is (0.103,0.297). Test the hypothesis that the population proportion...
A 95% confidence interval for a proportion is (0.103,0.297). Test the hypothesis that the population proportion is greater than 0.25. Be sure to include the 4 steps of an hypothesis test.
The lower limit of 99% confidence interval for the population proportion p, given a sample size...
The lower limit of 99% confidence interval for the population proportion p, given a sample size of 350 and sample pproportion of 20% is equal to Please show your work
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT