Listed below are student evaluation ratings of courses, where a rating of 5 is for "excellent." Using the bootstrap m confidence interval 3.70
Listed below are student evaluation ratings of courses, where a rating of 5 is for "excellent." Using the bootstrap m confidence interval 3.70
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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![Listed below are student evaluation ratings of courses, where a rating of 5 is for "excellent." Using the bootstrap method with 200 bootstrap samples, construct a 90% confidence interval estimate of p. How does the result compare to the
confidence interval 3.70 <u<4.21 constructed using only the original sample data?
3.8 3.1 4.1 4.9 3.1 4.1 3.4 4.9 4.4 4.1 4.4 3.9 3.3 4.0 3.8 O
E Click the icon to view the table of bootstrap samples.
Bootstrap samples
The bootstrap interval is<u<.
(Type integers or decimals rounded to two decimal places as needed.)
Sample
1.
4.0
4.9
4.9
3.8
3.3
4.1
4.0
4.1
3.9
4.4
4.4
4.4
3.3
4.4
4.1
3.8
4.1
4.4
4.1
4.0
4.9
4.1
4.1
4.4
4.1
4.0
3.1
3.1
3.1
4.0
4.1
3.8
3
4.9
4.4
4.0
3.9
3.8
3.8
4.4
3.1
4.1
3.3
3.8
4.1
3.1
4.1
4.9
3.3
4.1
4.1
3.3
4
4.1
4.1
3.4
3.1
4.9
3.8
4.9
4.9
4.1
3.8
3.1
3.3
5
4.9
3.9
4.1
4.0
4.9
4.9
3.1
3.8
4.1
3.1
4.1
4.1
4.4
3.9
4.9
4.1
6
3.1
3.1
3.9
4.1
4.9
4.1
3.8
4.9
4.1
4.1
4.1
3.1
3.8
4.0
17
4.9
3.1
3.1
4.4
4.9
4.0
4.1
4.1
3.3
4.4
3.3
4.4
4.4
4.9
4.9
4.1
4.1
3.4
4.9
4.9
8
3.4
4.4
4.4
3.9
3.9
4.9
3.8
4.1
4.1
4.4
3.8
4.1
3.3
9
4.9
3.3
3.1
3.9
3.4
4.9
3.1
4.1
4.9
4.9
3.9
10
3.8
3.3
3.3
4.1
4.1
4.1
3.1
4.9
4.1
4.9
4.1
4.4
4.1
4.1
11
3.4
3.1
3.4
3.1
3.9
3.8
4.1
4.9
3.1
3.9
4.9
4.9
4.1
4.1
12
4.9
3.4
4.1
4.4
4.9
3.8
4.1
4.1
3.8
3.3
4.4
3.8
4.9
4.1
3.1
3.4
4.1
13
4.9
4.9
4.1
3.1
3.8
4.1
4.9
4.4
3.9
4.1
4.4
4.0
3.3
3.1
4.4
4.1
4.1
14
4.1
3.3
4.4
4.9
4.4
4.4
3.8
4.0
3.1
4.4
3.9
4.4
4.9
15
4.0
4.1
3.4
4.1
3.4
49
4.4
4.9
3.1
4.4
4.1
4.9
3.8
4.4
16
4.0
4.1
4.9
3.8
3.4
3.9
3.8
3.8
3.1
4.1
3.8
4.0
3.1
3.4
4.1
4.1
4.0
17
18
4.0
3.1
3.8
4.4
4.1
3.1
3.8
4.9
4.9
3.3
3.1
4.1
4.9
4.0
4.1
4.1
4.9
4.9
4.1
4.0
4.1
4.4
4.1
3.4
3.9
4.0
3.9
3.9
19
4.9
3.9
3.8
4.4
4.1
4.0
4.1
3.8
4.9
3.1
4.9
4.1
4.1
3.3
3.4
4.1
4.1
3.1
4.9
4.1
3.3
4.9
3.9
3.9
4.0
20
3.1
3.8
4.1
4.9
4.4
4.9
4.1
4.1
4.1
21
4.1
4.0
4.9
4.4
3.8
3.9
4.1
3.1
4.9
4.1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F77cc80fa-a1ab-48f0-b2a0-996110f4bcad%2F8002fa75-8f54-4afc-bdc8-41fccf0e2469%2Fcuhdsng_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Listed below are student evaluation ratings of courses, where a rating of 5 is for "excellent." Using the bootstrap method with 200 bootstrap samples, construct a 90% confidence interval estimate of p. How does the result compare to the
confidence interval 3.70 <u<4.21 constructed using only the original sample data?
3.8 3.1 4.1 4.9 3.1 4.1 3.4 4.9 4.4 4.1 4.4 3.9 3.3 4.0 3.8 O
E Click the icon to view the table of bootstrap samples.
Bootstrap samples
The bootstrap interval is<u<.
(Type integers or decimals rounded to two decimal places as needed.)
Sample
1.
4.0
4.9
4.9
3.8
3.3
4.1
4.0
4.1
3.9
4.4
4.4
4.4
3.3
4.4
4.1
3.8
4.1
4.4
4.1
4.0
4.9
4.1
4.1
4.4
4.1
4.0
3.1
3.1
3.1
4.0
4.1
3.8
3
4.9
4.4
4.0
3.9
3.8
3.8
4.4
3.1
4.1
3.3
3.8
4.1
3.1
4.1
4.9
3.3
4.1
4.1
3.3
4
4.1
4.1
3.4
3.1
4.9
3.8
4.9
4.9
4.1
3.8
3.1
3.3
5
4.9
3.9
4.1
4.0
4.9
4.9
3.1
3.8
4.1
3.1
4.1
4.1
4.4
3.9
4.9
4.1
6
3.1
3.1
3.9
4.1
4.9
4.1
3.8
4.9
4.1
4.1
4.1
3.1
3.8
4.0
17
4.9
3.1
3.1
4.4
4.9
4.0
4.1
4.1
3.3
4.4
3.3
4.4
4.4
4.9
4.9
4.1
4.1
3.4
4.9
4.9
8
3.4
4.4
4.4
3.9
3.9
4.9
3.8
4.1
4.1
4.4
3.8
4.1
3.3
9
4.9
3.3
3.1
3.9
3.4
4.9
3.1
4.1
4.9
4.9
3.9
10
3.8
3.3
3.3
4.1
4.1
4.1
3.1
4.9
4.1
4.9
4.1
4.4
4.1
4.1
11
3.4
3.1
3.4
3.1
3.9
3.8
4.1
4.9
3.1
3.9
4.9
4.9
4.1
4.1
12
4.9
3.4
4.1
4.4
4.9
3.8
4.1
4.1
3.8
3.3
4.4
3.8
4.9
4.1
3.1
3.4
4.1
13
4.9
4.9
4.1
3.1
3.8
4.1
4.9
4.4
3.9
4.1
4.4
4.0
3.3
3.1
4.4
4.1
4.1
14
4.1
3.3
4.4
4.9
4.4
4.4
3.8
4.0
3.1
4.4
3.9
4.4
4.9
15
4.0
4.1
3.4
4.1
3.4
49
4.4
4.9
3.1
4.4
4.1
4.9
3.8
4.4
16
4.0
4.1
4.9
3.8
3.4
3.9
3.8
3.8
3.1
4.1
3.8
4.0
3.1
3.4
4.1
4.1
4.0
17
18
4.0
3.1
3.8
4.4
4.1
3.1
3.8
4.9
4.9
3.3
3.1
4.1
4.9
4.0
4.1
4.1
4.9
4.9
4.1
4.0
4.1
4.4
4.1
3.4
3.9
4.0
3.9
3.9
19
4.9
3.9
3.8
4.4
4.1
4.0
4.1
3.8
4.9
3.1
4.9
4.1
4.1
3.3
3.4
4.1
4.1
3.1
4.9
4.1
3.3
4.9
3.9
3.9
4.0
20
3.1
3.8
4.1
4.9
4.4
4.9
4.1
4.1
4.1
21
4.1
4.0
4.9
4.4
3.8
3.9
4.1
3.1
4.9
4.1
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