A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The hypotheses are: Họ: H= 16.1 ounces Ha: H < 16.1 ounces where u is the mean amount of juice in the manufacturer's 16 ounce bottles Explain the meaning of a Type I error. O A. A Type l error would occur if, in fact, µ < 16.1 ounces, but the results of the sampling lead to the conclusion that u> 16.1 ounces. O B. A Type l error would occur if, in fact, µ = 16.1 ounces, but the results of the sampling do not lead to rejection of that fact. OC. A Type I error would occur if, in fact, µ = 16.1 ounces, but the results of the sampling lead to the conclusion that u < 16.1 ounces. O D. A Type l error would occur if, in fact, µ < 16.1 ounces, but the results of the sampling fail to lead to that conclusion.
A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The hypotheses are: Họ: H= 16.1 ounces Ha: H < 16.1 ounces where u is the mean amount of juice in the manufacturer's 16 ounce bottles Explain the meaning of a Type I error. O A. A Type l error would occur if, in fact, µ < 16.1 ounces, but the results of the sampling lead to the conclusion that u> 16.1 ounces. O B. A Type l error would occur if, in fact, µ = 16.1 ounces, but the results of the sampling do not lead to rejection of that fact. OC. A Type I error would occur if, in fact, µ = 16.1 ounces, but the results of the sampling lead to the conclusion that u < 16.1 ounces. O D. A Type l error would occur if, in fact, µ < 16.1 ounces, but the results of the sampling fail to lead to that conclusion.
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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Question
![A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy
group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The
hypotheses are:
Họ: H = 16.1 ounces
Ha: H < 16.1 ounces
where u is the mean amount of juice in the manufacturer's 16 ounce bottles
Explain the meaning of a Type I error.
O A. AType I error would occur if, in fact, u< 16.1 ounces, but the results of the sampling lead to the
conclusion that u> 16.1 ounces.
O B. AType I error would occur if, in fact, u = 16.1 ounces, but the results of the sampling do not lead to
rejection of that fact.
OC. A Type I error would occur if, in fact, u = 16.1 ounces, but the results of the sampling lead to the
conclusion that u< 16.1 ounces.
O D. AType I error would occur if, in fact, u< 16.1 ounces, but the results of the sampling fail to lead to that
conclusion.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F12eb2471-3ec4-4318-bfa3-dc711d46df19%2Fbbf5a727-00be-47d0-adde-22b075981a24%2F79qans_processed.png&w=3840&q=75)
Transcribed Image Text:A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A consumer advocacy
group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The
hypotheses are:
Họ: H = 16.1 ounces
Ha: H < 16.1 ounces
where u is the mean amount of juice in the manufacturer's 16 ounce bottles
Explain the meaning of a Type I error.
O A. AType I error would occur if, in fact, u< 16.1 ounces, but the results of the sampling lead to the
conclusion that u> 16.1 ounces.
O B. AType I error would occur if, in fact, u = 16.1 ounces, but the results of the sampling do not lead to
rejection of that fact.
OC. A Type I error would occur if, in fact, u = 16.1 ounces, but the results of the sampling lead to the
conclusion that u< 16.1 ounces.
O D. AType I error would occur if, in fact, u< 16.1 ounces, but the results of the sampling fail to lead to that
conclusion.
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