a. Based on this sample, develop and interpret a 95% confidence interval estimate for the proportion of the traveling population that would have been impacted had the one-bag limit been in effect. Determine the confidence interval.
b. A certain plane has a capacity for 447 passengers. Determine an interval estimate of the number of passengers that you would expect to carry more than one piece of luggage on the plane. Assume the plane is at its passenger capacity.
c. Suppose the airline also noted whether the passenger was male or female. Out of the 1,000 passengers observed, 590 were male. Of this group,310 had more than one bag. Using these data, obtain and interpret a 95% confidence interval estimate for the proportion of male passengers in the population who would have been affected by the one-bag limit.
d. Suppose the airline decides to conduct a survey of its customers to determine their opinion of the proposed one-bag limit. The plan calls for a random sample of customers on different flights to be given a short written survey to complete during the flight. One key question on the survey will be: "Do you approve of limiting the number of carry-on bags to a maximum of one bag?" Airline managers expect that only about 10% will say "yes." Based on this assumption, what size sample should the airline take if it wants to develop a 95% confidence interval estimate for the population proportion who will say "yes" with a margin of error ±0.09?
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a. Based on this sample, develop and interpret a 95% confidence interval estimate for the proportion...
Most major airlines allow passengers to carry two pieces of luggage onto the plane. One regional airline is considering changing its policy to allow only one carry-on per passenger. A random sample of 40 passengers was selected. Out of the 40 passengers, 8 had more than one bag. Construct a 95% confidence interval estimate for the percentage of the traveling population that had more than one bag. 19.88% - 20.12% 7.60% -32.40% 7.21% - 32.79% 19.22% - 20.78%
Question 9 (2 points) Most major airlines allow passengers to carry two pieces of luggage onto the plane. One regional airline is considering changing its policy to allow only one carry-on per passenger. A random sample of 40 passengers was selected. Out of the 40 passengers, 8 had more than one bag. Construct a 95% confidence interval estimate for the percentage of the traveling population that had more than one bag. O 7.21% - 32.79% 7.60% - 32.40% 19.22% -...
At a confidence level of 95% a confidence interval for a population proportion is determined to be 0.65 to 0.75. If the sample size had been larger and the estimate of the population proportion the same, this 95% confidence interval estimate as compared to the first interval estimate would be Group of answer choices narrower. the same. wider.
Compute the 95% confidence interval estimate for the population proportion, p, based on a sample size of 100 when the sample proportion, is equal to 0.28. What is the upper bound of this confidence interval? (Round to three decimal places as needed.)
Construct a 96% confidence interval to estimate the population proportion with a sample proportion equal to 0.36 and a sample size equal to 100. 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 (Round to three decimal places as needed) and an upper limit of
Because of safety considerations, in May 2003 the Federal Aviation Administration (FAA) changed its guidelines for how small commuter airlines must estimate passenger weights. Under the old rule, airlines used 180 pounds as a typical passenger weight (including carry-on luggage) in warm months and 185 pounds as a typical weight in cold months. A journal reported that an airline conducted a study to estimate average passenger plus carry-on weights. They found an average summer weight of 183 pounds and a...
a. Construct a 95% confidence interval estimate of the population proportion of adults who had bought something online b. Construct a 95% confidence interval estimate of the population proportion of online shoppers who are weekly online shoppers. A research center survey of 2,351 adults found that 1,899 had bought something online. Of these online shoppers, 1,203 are weekly online shoppers. Complete parts (a) through (c) below.
Construct a 90% confidence interval to estimate the population proportion with a sample proportion equal to 0.44 and a sample size equal to 100. A 90% confidence interval estimates that the population proportion is between a lower limit of blank and an upper limit of. (Round to three decimal places as needed.)
Using the sample of size 200, construct a 95% confidence interval for the proportion of Youth Survey participants who would describe themselves as being about the right weight (Round to three decimal places.) Sample Proportion = Margin of error Lower limit Upper limit Does your 95% confidence interval based on the sample of size 200 include the true proportion of Youth Survey participants who would describe themselves as being about the right weight? O Yes O No
Confidence Interval for Population Proportion LEARNING OBJECTIVE: Calculate a confidence interval for a population proportion. From her purchased bags, Rachel counted 130 red candies out of 520 total candies. Using a 95% confidence interval for the population proportion, what are the lower and upper limit of the interval? Answer choicos aro rounded to the thousandths placo. a.) Lower Limit 0.247 Upper Limit: 0.287