A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample variance, s², is determined to be 128 Completo parts (a) through (c). ...
A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample variance, s², is determined to be 128 Completo parts (a) through (c). ...
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Complete it for n is 40 too pls. 3-3
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A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample variance, s, is determined to be 128 Completo
parts (a) through (c).
(a) Construct a 90% confidence interval for o² if the sample size, n, is 20.
The lower bound is
8.07. (Round to two decimal places as needed.)
The upper bound is
24.04. (Round to two decimal places as needed.)
(b) Construct a 90% confidence interval for o² if the sample size, n, is 30.
The lower bound is (Round to two decimal places as needed.)
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Clear all](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd2e70b5e-ef23-4562-ab51-dd1b77867118%2Fe4f5a22e-4f5e-47d6-80b1-d70c4efa0d79%2Fndgjm2j_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Tests
ctivity
K
in
ok
nch
er Contents
for Success
imedia Library
chase Options
cussions
wurse Tools
72°F
Sunny
A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample variance, s, is determined to be 128 Completo
parts (a) through (c).
(a) Construct a 90% confidence interval for o² if the sample size, n, is 20.
The lower bound is
8.07. (Round to two decimal places as needed.)
The upper bound is
24.04. (Round to two decimal places as needed.)
(b) Construct a 90% confidence interval for o² if the sample size, n, is 30.
The lower bound is (Round to two decimal places as needed.)
H
1
H
More
√i
(1)
Review
Resume
I,
Vi
Clear all
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