a. Explain what it would mean to make a type I error. Choose the correct answer below. A. A type I error would occur if in fact μ>0.56ppm, but the results of the sampling lead to the conclusion that μ=0.56 ppm. B.A type I error would occur if in fact μ>0.56 ppm, but the results of the sampling fail to lead to the conclusion that μ=0.56 ppm. C.A type I error would occur if in fact μ=0.56 ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm. D. A type I error would occur if in fact μ=0.56ppm, but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm. Part 2 b. Explain what it would mean to make a type II error. Choose the correct answer below. A. A type II error would occur if in fact μ>0.56ppm, but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm. B. A type II error would occur if in fact μ>0.56 ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm. C. A type II error would occur if in fact μ=0.56 ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm. D. A type II error would occur if in fact μ=0.56 ppm, but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm. Part 3 c. Explain what it would mean to make a correct decision. Choose the correct answer below. A. A correct decision would occur if μ=0.56ppm and the results of the sampling lead to the rejection of that fact; or if μ>0.56 ppm and the results of the sampling do not lead to that conclusion. B. A correct decision would occur if μ≠0.56ppm and the results of the sampling lead to the rejection of that fact; or if μ=0.56 ppm and the results of the sampling do not lead to that conclusion. C. A correct decision would occur if μ>0.56 ppm and the results of the sampling do not lead to the rejection of that fact; or if μ≠0.56 ppm and the results of the sampling lead to that conclusion. D. A correct decision would occur if μ=0.56ppm and the results of the sampling do not lead to the rejection of that fact; or if μ>0.56 ppm and the results of the sampling lead to that conclusion. Part 4
a. Explain what it would mean to make a type I error. Choose the correct answer below. A. A type I error would occur if in fact μ>0.56ppm, but the results of the sampling lead to the conclusion that μ=0.56 ppm. B.A type I error would occur if in fact μ>0.56 ppm, but the results of the sampling fail to lead to the conclusion that μ=0.56 ppm. C.A type I error would occur if in fact μ=0.56 ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm. D. A type I error would occur if in fact μ=0.56ppm, but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm. Part 2 b. Explain what it would mean to make a type II error. Choose the correct answer below. A. A type II error would occur if in fact μ>0.56ppm, but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm. B. A type II error would occur if in fact μ>0.56 ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm. C. A type II error would occur if in fact μ=0.56 ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm. D. A type II error would occur if in fact μ=0.56 ppm, but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm. Part 3 c. Explain what it would mean to make a correct decision. Choose the correct answer below. A. A correct decision would occur if μ=0.56ppm and the results of the sampling lead to the rejection of that fact; or if μ>0.56 ppm and the results of the sampling do not lead to that conclusion. B. A correct decision would occur if μ≠0.56ppm and the results of the sampling lead to the rejection of that fact; or if μ=0.56 ppm and the results of the sampling do not lead to that conclusion. C. A correct decision would occur if μ>0.56 ppm and the results of the sampling do not lead to the rejection of that fact; or if μ≠0.56 ppm and the results of the sampling lead to that conclusion. D. A correct decision would occur if μ=0.56ppm and the results of the sampling do not lead to the rejection of that fact; or if μ>0.56 ppm and the results of the sampling lead to that conclusion. Part 4
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
a. Explain what it would mean to make a type I error.
Choose the correct answer below.
A.
A type I error would occur if in fact μ>0.56ppm, but the results of the sampling lead to the conclusion that μ=0.56 ppm.
ppm, but the results of the sampling fail to lead to the conclusion that μ=0.56 ppm.
C.A type I error would occur if in fact μ=0.56
ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm.
D.
A type I error would occur if in fact μ=0.56ppm, but the results of the sampling fail to lead to the conclusion that
μ>0.56 ppm.
Part 2
b. Explain what it would mean to make a type II error.
Choose the correct answer below.
A.
A type II error would occur if in fact μ>0.56ppm, but the results of the sampling fail to lead to the conclusion that
μ>0.56 ppm.
B. A type II error would occur if in fact μ>0.56
ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm.
C. A type II error would occur if in fact μ=0.56
ppm, but the results of the sampling lead to the conclusion that μ>0.56 ppm.
D.
A type II error would occur if in fact μ=0.56 ppm,
but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm.
but the results of the sampling fail to lead to the conclusion that μ>0.56 ppm.
Part 3
c. Explain what it would mean to make a correct decision.
Choose the correct answer below.
A.
A correct decision would occur if μ=0.56ppm and the results of the sampling lead to the rejection of that fact; or if μ>0.56
ppm and the results of the sampling do not lead to that conclusion.
ppm and the results of the sampling do not lead to that conclusion.
B.
A correct decision would occur if μ≠0.56ppm and the results of the sampling lead to the rejection of that fact; or if
μ=0.56 ppm and the results of the sampling do not lead to that conclusion.
ppm and the results of the sampling do not lead to the rejection of that fact; or if μ≠0.56
ppm and the results of the sampling lead to that conclusion.
ppm and the results of the sampling lead to that conclusion.
D.
A correct decision would occur if μ=0.56ppm and the results of the sampling do not lead to the rejection of that fact; or if
μ>0.56
ppm and the results of the sampling lead to that conclusion.Part 4
d. Now suppose that the results of carrying out the hypothesis test lead to nonrejection of the null hypothesis. Classify that conclusion by error type or as a correct decision if in fact the mean cadmium level in that type of mushrooms equals the safety limit of 0.56 ppm.
Choose the correct answer below.
A.
type I error
B.
correct decision because a true null hypothesis is not rejected
C.
correct decision because a false null hypothesis is rejected
D.
type II error
Part 5
e. Now suppose that the results of carrying out the hypothesis test lead to nonrejection of the null hypothesis. Classify that conclusion by error type or as a correct decision if in fact the mean cadmium level in that type of mushrooms exceeds the safety limit of 0.56 ppm.
Choose the correct answer below.
A.
type I error
B.
correct decision because a true null hypothesis is not rejected
C.
type II error
D.
correct decision because a false null hypothesis is rejected
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman