Unoccupied seats on flights cause airlines to lose revenue. Suppose a large airline wants to estimate its average number of unoccupied seats per flight over the past year nationally (assuming a normal distribution at population level). To accomplish this, the records of 20 flights are randomly selected, and the number of unoccupied seats is noted for each of the sampled flight. The descriptive statistic for the data is displayed below. Number of Unoccupied Seats Mean Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 12 11 11 ? 21.25263 1.613607 1.059552 19 5 24 238 20 Based on the sampled 20 flights, a 95% confidence interval for the number of unoccupied seats yeilds: (A) [10,14] using a Z critical value B [10,14] using at critical value © [3,21] using a Z critical value D [3,21] using a t critical value
Unoccupied seats on flights cause airlines to lose revenue. Suppose a large airline wants to estimate its average number of unoccupied seats per flight over the past year nationally (assuming a normal distribution at population level). To accomplish this, the records of 20 flights are randomly selected, and the number of unoccupied seats is noted for each of the sampled flight. The descriptive statistic for the data is displayed below. Number of Unoccupied Seats Mean Median Mode Standard Deviation Sample Variance Kurtosis Skewness Range Minimum Maximum Sum Count 12 11 11 ? 21.25263 1.613607 1.059552 19 5 24 238 20 Based on the sampled 20 flights, a 95% confidence interval for the number of unoccupied seats yeilds: (A) [10,14] using a Z critical value B [10,14] using at critical value © [3,21] using a Z critical value D [3,21] using a t critical value
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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![Unoccupied seats on flights cause airlines to lose revenue. Suppose a large airline wants to estimate its average number of
unoccupied seats per flight over the past year nationally (assuming a normal distribution at population level). To accomplish this,
the records of 20 flights are randomly selected, and the number of unoccupied seats is noted for each of the sampled flight. The
descriptive statistic for the data is displayed below.
Number of Unoccupied Seats
Mean
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
12
11
11
21.25263
1.613607
1.059552
19
5
24
238
20
Based on the sampled 20 flights, a 95% confidence interval for the number of unoccupied seats yeilds:
A [10,14] using a Z critical value
[10,14] using at critical value
C) [3,21] using a Z critical value
D [3,21] using at critical value](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F71e73376-288f-44a2-851a-a51375f80b6c%2F6658f56a-293c-4f27-a076-e5a420698577%2Fzkdw8qn_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Unoccupied seats on flights cause airlines to lose revenue. Suppose a large airline wants to estimate its average number of
unoccupied seats per flight over the past year nationally (assuming a normal distribution at population level). To accomplish this,
the records of 20 flights are randomly selected, and the number of unoccupied seats is noted for each of the sampled flight. The
descriptive statistic for the data is displayed below.
Number of Unoccupied Seats
Mean
Median
Mode
Standard Deviation
Sample Variance
Kurtosis
Skewness
Range
Minimum
Maximum
Sum
Count
12
11
11
21.25263
1.613607
1.059552
19
5
24
238
20
Based on the sampled 20 flights, a 95% confidence interval for the number of unoccupied seats yeilds:
A [10,14] using a Z critical value
[10,14] using at critical value
C) [3,21] using a Z critical value
D [3,21] using at critical value
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