10.B. Identify the value of the margin of error E.C. Construct the confidence interval. **Use the sample data and confidence level given below to complete parts (a) through (d).**In a study of cell phone use and brain hemispheric dominance, an Internet survey was e-mailed to 2414 subjects randomly selected from an online group involved with ears. 1116 surveys were returned. Construct a 95% confidence interval for the proportion of returned surveys.[Click the icon to view a table of z scores.]---**a) Find the best point estimate of the population proportion \( p \).**\[ \square \](Round to three decimal places as needed.)

It is given that sample size (n) is 2414 and x is 1116.

Answered: Use the sample data and confidence…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a recent study, researchers were interested in the distractions caused by cell phones. In a random sample of 738 cell phone users, approximately 23 percent of the sampled users admitted to walking into somethingwhile talking on their cell phones. 1. Calculate the standard error of the sample proportion of the sampled users who admitted to walking into something while talking on their cell phones. 2. Construct and interpret a 95 percent confidence interval for the population proportion of cell phone users who will admit to walking into something while talking on their cell phones.
identify the population proportion, the value of margin of error E, and construct the confidence interval
32. Touch Your Nose With Your Tongue Find the sample size needed to estimate the percentage of adults who can touch their nose with their tongue. Use a margin of error of 2 percentage points and use a confidence level of 90%. a. Assume that p and à are unknown. b. Assume that a previous study showed that 10% of adults can touch their nose with their tongue (based on data from Onedio). c. Does the use of the results from the previous study have much of an effect on the sample size?
A researcher surveyed college students in the United States on the typical amount of time each day that they spend interacting with different types of media (television, social media, Internet-connected devices, game consoles, etc.) The researcher found that the mean amount of time that college students spent watching television each day is 135 minutes with a 95% confidence interval of (105, 165). a. State the conclusion the researcher can make from this confidence interval. b. What is the margin of error for the confidence interval?
d. What is the lower bound of the confidence interval? e. What is the upper bound for the confidence interval? f. Interpret the confidence interval you have calculated
Use the confidence interval to find the estimated margin of error. Then find the sample mean. A store manager reports a confidence interval of (43.1,81.9) when estimating the mean price (in dollars) for the population of textbooks. The estimated margin of error is (Type an integer or a decimal.) The sample mean is (Type an integer or a decimal.)
8
Statistics Question
Use the given confidence interval to find the margin of error and the sample mean. (13.4,21.6) The sample mean is (Type an integer or a decimal.)
5. A researcher constructed a 95% confidence interval for the true mean number of years students take to earn a bachelor's degree. His results were (4.319, 4.841). a. What is the point estimate for the average number of years to complete a bachelor's degree? b. Does his interval support or contradict the widely held belief that it takes 4 years to complete a bachelor's degree? Why or why not?
Q5. As we increase the confidence level from (e.g., 90% to 95%), the confidence interval length increases and the precision of our estimate decreases. TrueB. FalseC. Unsure
The National Center for Education Statistics reported that 47% of college students work to pay for tuition and living expenses. Assume that a sample of 450 colleges students was used in this study. 1. Provide a 95% confidence interval for the population proportion of college students who work to pay for tuition and living expenses. 2. Provide a 99% confidence interval for the population proportion of college students who work to pay for tuition and living expenses. 3. What happens to the margin of error as the confidence is increased from 95% to 99%? Explain why this makes sense. 4. Suppose the NCES would like to re-do their study. If they want a 95% confidence interval with a margin of error for the population proportion within ±0.03, determine the sample size they should use. Use , the sample proportion from their previous study.

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