A national air traffic control system handled an average of 47,732 flights during 28 randomly selected days in a recent year. The standard deviation for this sample is 6,343 flights per day. Complete parts a through c below. 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 to an upper limit of (Round to the nearest whole numbers.)
A national air traffic control system handled an average of 47,732 flights during 28 randomly selected days in a recent year. The standard deviation for this sample is 6,343 flights per day. Complete parts a through c below. 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 to an upper limit of (Round to the nearest whole numbers.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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![### Statistical Analysis of Air Traffic Control Data
A national air traffic control system reported managing an average of 47,732 flights over a sample of 28 randomly chosen days in a particular year. The standard deviation for this sample was calculated to be 6,343 flights per day. Below are the steps to complete the statistical analysis:
#### Task:
a. Construct a 99% confidence interval to estimate the average number of flights per day handled by the system.
#### Solution:
To construct the 99% confidence interval, the calculations for the lower and upper limits need to be completed.
- **Confidence Interval:**
- **Lower limit:** [Insert lower limit here]
- **Upper limit:** [Insert upper limit here]
**Note:** Values should be rounded to the nearest whole numbers.
This analysis helps to understand the range within which the true average number of flights per day handled by the air traffic control system is expected to fall, with a 99% confidence level.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1edf6bab-4728-4898-93c7-8c180c68b645%2F6b38a2c6-ba0b-4e24-8632-9d075f3958da%2Fytr33ai_processed.png&w=3840&q=75)
Transcribed Image Text:### Statistical Analysis of Air Traffic Control Data
A national air traffic control system reported managing an average of 47,732 flights over a sample of 28 randomly chosen days in a particular year. The standard deviation for this sample was calculated to be 6,343 flights per day. Below are the steps to complete the statistical analysis:
#### Task:
a. Construct a 99% confidence interval to estimate the average number of flights per day handled by the system.
#### Solution:
To construct the 99% confidence interval, the calculations for the lower and upper limits need to be completed.
- **Confidence Interval:**
- **Lower limit:** [Insert lower limit here]
- **Upper limit:** [Insert upper limit here]
**Note:** Values should be rounded to the nearest whole numbers.
This analysis helps to understand the range within which the true average number of flights per day handled by the air traffic control system is expected to fall, with a 99% confidence level.
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