Construct a 99% confidence interval to estimate the average number of flights per day handled by the system. ne 99% confidence interval to estimate the average number of flights per day handled by the system is from a lower limit of to an upper limit of Round to the nearest whole numbers.) Suppose an airline company claimed that the national air traffic control system handles an average of 50,000 flights per day. Do the results from this sample alidate the airline company's claim? O A. Since the 99% confidence interval contains 50,000, it can be said with 99% confidence that the sample validates the airline company's claim. O B. Since the 99% confidence interval contains 50,000, it cannot be said with 99% confidence that the sample validates the airline company's claim. ) C. Since the 99% confidence interval does not contain 50,000, it cannot be said with 99% confidence that the sample validates the airline company's claim. O D. Since the 99% confidence interval does not contain 50,000, it can be said with 99% confidence that the sample validates the airline company's claim. What assumptions need to be made about this population?

Construct a 99% confidence interval to estimate the average number of flights per day handled by the system. ne 99% confidence interval to estimate the average number of flights per day handled by the system is from a lower limit of to an upper limit of Round to the nearest whole numbers.) Suppose an airline company claimed that the national air traffic control system handles an average of 50,000 flights per day. Do the results from this sample alidate the airline company's claim? O A. Since the 99% confidence interval contains 50,000, it can be said with 99% confidence that the sample validates the airline company's claim. O B. Since the 99% confidence interval contains 50,000, it cannot be said with 99% confidence that the sample validates the airline company's claim. ) C. Since the 99% confidence interval does not contain 50,000, it cannot be said with 99% confidence that the sample validates the airline company's claim. O D. Since the 99% confidence interval does not contain 50,000, it can be said with 99% confidence that the sample validates the airline company's claim. What assumptions need to be made about this population?

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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A marketing consultant wants to estimate the proportion of all shoppers at a certain mall who make at least one purchase. He stands at a mall exit for two hours on a weekday afternoon and flips a coin each time a shopper leaves. If the coin comes up heads, he asks them if they have made any purchases during this visit. After two hours, he has 132 responses, 104 of whom made a purchase. Which condition for constructing a confidence interval for a proportion has the consultant failed to satisfy? O The data is a random sample from the population of interest. On> 30 O np 2 10 O n(1 - p) 2 10 O The sample is less than 10% of the population.
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С. Consider another brand C of car tyres. From a random sample of 36 car tyres, it has been found that 26 of these car tyres last longer than 40,000 km. Find a 95% confidence interval corresponding to the sample proportion of brand C car tyres which last longer than 40,000 km. Give values correct to three decimal places.
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?
Construct a 95% confidence interval for p1 - p2 for a survey that finds 30% of 240 males and 41% of 200 females are opposed to the death penalty. Group of answer choices a.(-0.200, -0.021) b.(-1.532, 1.342) c.(-1.324, 1.512) d.(-0.561, 0.651)
A research center survey of 2,484 adults found that 1,942 had bought something online. Of these online shoppers, 1,295 are weekly online shoppers. Complete parts (a) through (c) below. a. Construct a 95% confidence interval estimate of the population proportion of adults who had bought something online. Sas (Round to four decimal places as needed.) led b. Construct a 95% confidence interval estimate of the population proportion of online shoppers who are weekly online shoppers. Sas (Round to four decimal places as needed.) c. How would the director of e-commerce sales for a company use the results of (a) and (b)? O A. Since a greater proportion of adults have purchased something online than are weekly online shoppers, the director of e-commerce sales may want to focus on those adults who have purchased something online. led O B. The information cannot be compared because it is derived from two different opinions. O C. Agreater proportion of adults have purchased something online, but…
Ten engineering schools in a country were surveyed. The sample contained 225electrical engineers, 80 being women; 175 chemical engineers, 40 being women. Compute a 90% confidence interval for the difference between the proportions of women in these two fields of engineering. Is there a significant difference between the two proportions? Let p1 be the population proportion of electrical engineers that are women in the schools that were surveyed and let p2 be the population proportion of chemical engineers that are women in the schools that were surveyed. The 90% confidence interval is nothing<p1−p2<nothing. (Round to three decimal places as needed.)
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A professor sampled 46 students from a large university to obtain a 95% confidence interval for the proportion of students in favor of raising ASB fees. The interval was (0.356, 0.397). If the professor had used a 90% confidence interval instead, the confidence interval would have been ... A) Wider and would have a smaller chance of missing the true proportion. B) Narrower and would have a larger chance of missing the true proportion. C) Narrower and would have a smaller chance of missing the true proportion. D) Wider and would have a larger chance of missing the true proportion.