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It's about ME Explain how each of the following would affect the margin of error of a confidence interval, if all other things remained the same.

(a) Increasing the confidence level

(b) Quadrupling the sample size

Short Answer

Expert verified

(a) It increases the margin of error.

(b) It would reduce the margin of error.

Step by step solution

01

Part (a) Step 1: Given Information 

We have to explain how Increasing the confidence level would affect the margin of error of a confidence interval, if all other things remained the same.

02

Part (a) Step 2: Explanation 

The margin of error is directly related to the margin of error. The increase in the confidence level leads an increase in margin of error and vice versa. So, the increase in the confidence level would lead increase in the margin of error.

03

Part (b) Step 1: Given Information 

We have to explain how Quadrupling the sample size would affect the margin of error of a confidence interval, if all other things remained the same.

04

Part (b) Step 2:  Explanation 

The margin of error is inversely related to the margin of error. The increase in the size of the sample leads the reduction in margin of error and vice versa. So, the increase in the sample size would lead reduction in the margin of error.

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Most popular questions from this chapter

How confident? The figure below shows the result of taking 25SRSs from a Normal population and constructing a confidence interval for each sample. Which confidence level—80%,90%,95%, or 99%— do you think was used? Explain

A quality control inspector will measure the salt content (in milligrams) in a random sample of bags of potato chips from an hour of production. which of the following would result in the smallest margin of error in estimating the mean salt content M?

(a) 90% confidence; n=25.

(b) 90% confidence; n=50.

(c) 95% confidence; n=25.

(d) 95%confidence; n=50.

(e) n=100 at any confidence level.

I collect an SRS of size n from a population and compute a 95%confidence interval for the population proportion. Which of the following would produce a new confidence interval with larger width (larger margin of error) based on these same data?

(a) Use a larger confidence level.

(b) Use a smaller confidence level.

(c) Increase the sample size.

(d) Use the same confidence level, but compute the interval n times. Approximately5% of these intervals will be larger.

(e) Nothing can guarantee absolutely that you will get a larger interval. One can only say that the chance of obtaining a larger interval is 0.05.

To assess the accuracy of a laboratory scale, a standard weight known to weigh 10grams is weighed repeatedly. The scale readings are Normally distributed with unknown mean (this mean is 10grams if the scale has no bias). In previous studies, the standard deviation of the scale readings has been about 0.0002gram. How many measurements must be averaged to get a margin of error of 0.0001with 98% confidence? Show your work.

A radio talk show host with a large audience is interested in the proportion pof adults in his listening area who think the drinking age should be lowered to eighteen. To find this out, he poses the following question to his listeners: "Do you think that the drinking age should be reduced to eighteen in light of the fact that eighteen-year-olds are eligible for military service?" He asks listeners to phone in and vote "Yes" if they agree the drinking age should be lowered and "No" if not. Of the 100people who phoned in, 70answered "Yes." Which of the following conditions for inference about a proportion using a confidence interval are violated?

I. The data are a random sample from the population of interest.

II. nis so large that both npÁåžandn1-pÁåžare at least 10.

III. The population is at least 10times as large as the sample.

(a) I only

(c) III only

(c) I, II, and III

(b) II only

(d) I and II only

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