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 2602 subjects randomly selected from an online group involved with ears. 1093 surveys were returned. Construct a 95% confidence interval for the proportion of returned surveys. Click the icon to view a table of z scores. 0.420 (Round to three decimal places as needed.) b) Identify the value of the margin of error E. E = 0.019 (Round to three decimal places as needed.) c) Construct the confidence interval. 0.401

In a poll, 1100 adults in a region were asked about their online vs. in-store clothes shopping. One finding was that 44% of respondents never clothes-shop online. Find and interpret a 95% confidence interval for the proportion of all adults in the region who never clothes-shop online. Click here to view page 1 of the table of areas under the standard normal curve. Click here to view page 2 of the table of areas under the standard normal curve. The 95% confidence interval is from to (Round to three decimal places as needed.)

A survey was conducted that asked 1009 people how many books they had read in the past year. Results indicated that x = 14.4 books and s= 16.6 books. Construct a 90% confidence interval for the mean number of books people read. Interpret the interval. Click the icon to view the table of critical t-values. C Construct a 90% confidence interval for the mean number of books people read and interpret the result. Select the correct choice below and fill in the answer boxes to complete your choice. (Use ascending order. Round to two decimal places as needed.) OA. If repeated samples are taken, 90% of them will have a sample mean between and H OB. There is a 90% probability that the true mean number of books read is between and OC. There is 90% confidence that the population mean number of books read is between and

Twenty-two car salespeople were sampled to see how many cars they sold in a month; the following data was obtained: 26, 20, 22, 18, 21, 14, 24, 28, 17, 23, 28, 29, 18, 17, 24, 26, 19, 27, 26, 22, 23, 25 Construct a 95% confidence interval for the mean number of cars sold per month by the population of car salespeople. S = t = Margine of Error: E = We are 95% confident that, on average, car salespeople sell between cars and cars per month.

Use the sample data and confidence level given below to complete parts​ (a) through​ (d).   A research institute poll asked respondents if they felt vulnerable to identity theft. In the​ poll, n=1005 and x=534 who said​ "yes." Use a 99% confidence level.   LOADING... Click the icon to view a table of z scores.       Question content area bottom Part 1 ​a) Find the best point estimate of the population proportion p.   enter your response here ​(Round to three decimal places as​ needed.) Part 2 ​b) Identify the value of the margin of error E.   E=enter your response here ​(Round to three decimal places as​ needed.) Part 3 ​c) Construct the confidence interval.   enter your response here<p<enter your response here ​(Round to three decimal places as​ needed.) Part 4 ​d) Write a statement that correctly interprets the confidence interval. Choose the correct answer below.     A. One has 99​% confidence that the interval from the lower bound to the upper bound…

A survey was conducted that asked 1018 people how many books they had read in the past year. Results indicated that x = 14.3 books and s= 16.6 books. Construct a 90% confidence interval for the mean number of books people read. Interpret the interval. Click the icon to view the table of critical t-values. Construct a 90% confidence interval for the mean number of books people read and interpret the result. Select the correct choice below and fill in the answer boxes to complete your choice. (Use ascending order. Round to two decimal places as needed.) OA. If repeated samples are taken, 90% of them will have a sample mean between and OB. There is 90% confidence that the population mean number of books read is between OC. There is a 90% probability that the true mean number of books read is between and and