A national air traffic control system handled an average of 47,208 flights during 29 randomly selected days in a recent year. The standard deviation for this sample is 6,268 flights per day. Complete parts a through c below. Question content area bottom Part 1 a. Construct a 99% confidence interval to estimate the average number of flights per day handled by the system. The 99% confidence interval to estimate the average number of flights per day handled by the system is from a lower limit of enter your response here to an upper limit of enter your response here. (Round to the nearest whole numbers.) Part 2 b. 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 validate the airline company's claim? A. 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. B. Since the 99% confidence interval contains 50,000, it can 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. D. Since the 99% confidence interval contains 50,000, it cannot be said with 99% confidence that the sample validates the airline company's claim. Part 3 c. What assumptions need to be made about this population? A. Since the sample size is not greater than or equal to 30, one needs to assume that the population follows the Student's t-distribution. B. Since the sample size is not greater than or equal to 30, one needs to assume that the population distribution is skewed to one side. C. Since the sample size is not greater than or equal to 30, one needs to assume that the population follows the normal probability distribution. D. Since the sample size is not greater than or equal to 30, one needs to assume that the population distribution is not very skewed to one side.
A national air traffic control system handled an average of 47,208 flights during 29 randomly selected days in a recent year. The standard deviation for this sample is 6,268 flights per day. Complete parts a through c below. Question content area bottom Part 1 a. Construct a 99% confidence interval to estimate the average number of flights per day handled by the system. The 99% confidence interval to estimate the average number of flights per day handled by the system is from a lower limit of enter your response here to an upper limit of enter your response here. (Round to the nearest whole numbers.) Part 2 b. 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 validate the airline company's claim? A. 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. B. Since the 99% confidence interval contains 50,000, it can 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. D. Since the 99% confidence interval contains 50,000, it cannot be said with 99% confidence that the sample validates the airline company's claim. Part 3 c. What assumptions need to be made about this population? A. Since the sample size is not greater than or equal to 30, one needs to assume that the population follows the Student's t-distribution. B. Since the sample size is not greater than or equal to 30, one needs to assume that the population distribution is skewed to one side. C. Since the sample size is not greater than or equal to 30, one needs to assume that the population follows the normal probability distribution. D. Since the sample size is not greater than or equal to 30, one needs to assume that the population distribution is not very skewed to one side.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
A national air traffic control system handled an average of
47,208
flights during
29
randomly selected days in a recent year. The standard deviation for this sample is
6,268
flights per day. Complete parts a through c below.Question content area bottom
Part 1
a. Construct
interval to estimate the average number of flights per day handled by the system.
a
99%
confidence The
99%
confidence interval to estimate the average number of flights per day handled by the system is from a lower limit of
enter your response here
to an upper limit of
enter your response here.
(Round to the nearest whole numbers.)
Part 2
b. 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 validate the airline company's claim?
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.Since the
99%
confidence interval contains 50,000, it can be said with
99%
confidence that the sample validates the airline company's claim.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.Since the
99%
confidence interval contains 50,000, it cannot be said with
99%
confidence that the sample validates the airline company's claim.Part 3
c. What assumptions need to be made about this population?
Since the sample size is not greater than or equal to 30, one needs to assume that the population follows the Student's t-distribution.
Since the sample size is not greater than or equal to 30, one needs to assume that the population distribution is skewed to one side.
Since the sample size is not greater than or equal to 30, one needs to assume that the population follows the normal probability distribution.
Since the sample size is not greater than or equal to 30, one needs to assume that the population distribution is not very skewed to one side.
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