Comparing two means: Consider two measuring instruments that are used to measure the intensity of some electromagnetic waves. An engineer wants to check if both instruments are calibrated identically, i.e., if they will produce identical measurements for identical waves. To do so, the engineer does nị independent measurements of the intensity of the a given wave using the first instrument, and n2 measurements on the same wave using the second instrument. The integers n1 and n2 may not be equal because, for instance, one instrument may be more costly than the other one, or may produce measurements more slowly. The measurements are denoted by {X;}', for the first instrument and by {Y;}2, for the second one. Intrinsic defects of the instruments will lead to measurement errors, and it is reasonable to assume that {X;}, are iid Gaussian and so are {Y;}"2,. If the two instruments are identically calibrated, {X;}", and {Y;}"2, should have the same expectation but may not have the same variance, since the two instruments may not have the same precision. Hence, we assume that X; ~ N (µ1, 07) and Y; ~ N (µ2, o), where µ1, µ2 € R and o?, ož > 0, and that the two samples are independent of each other. We want to test whether µi = µ2. Let Ê1, ê2,o²,o? be the maximum likelihood estimators of µ1, H2, 07, 0ž respectively. What is the distribution of + of Let A = î1 – f. What is the distribution of A? Consider the following hypotheses: Ho : µ1 = µ2 vs H1 : µ1 # µ2 question we assume that of non-asymptotic level a E (0, 1) for Ho against H1. Here and in the o?. Based on the previous questions, propose a test with Assume that 10 measurements have been done for both machines. The first instrument measured 8.43 in average with sample variance 0.22 and the second instrument 8.07 with sample variance 0.17. Can you conclude that the calibrations of the two machines are significantly identical at level 5%? What is (approximately) the p-value of your test?
Comparing two means: Consider two measuring instruments that are used to measure the intensity of some electromagnetic waves. An engineer wants to check if both instruments are calibrated identically, i.e., if they will produce identical measurements for identical waves. To do so, the engineer does nị independent measurements of the intensity of the a given wave using the first instrument, and n2 measurements on the same wave using the second instrument. The integers n1 and n2 may not be equal because, for instance, one instrument may be more costly than the other one, or may produce measurements more slowly. The measurements are denoted by {X;}', for the first instrument and by {Y;}2, for the second one. Intrinsic defects of the instruments will lead to measurement errors, and it is reasonable to assume that {X;}, are iid Gaussian and so are {Y;}"2,. If the two instruments are identically calibrated, {X;}", and {Y;}"2, should have the same expectation but may not have the same variance, since the two instruments may not have the same precision. Hence, we assume that X; ~ N (µ1, 07) and Y; ~ N (µ2, o), where µ1, µ2 € R and o?, ož > 0, and that the two samples are independent of each other. We want to test whether µi = µ2. Let Ê1, ê2,o²,o? be the maximum likelihood estimators of µ1, H2, 07, 0ž respectively. What is the distribution of + of Let A = î1 – f. What is the distribution of A? Consider the following hypotheses: Ho : µ1 = µ2 vs H1 : µ1 # µ2 question we assume that of non-asymptotic level a E (0, 1) for Ho against H1. Here and in the o?. Based on the previous questions, propose a test with Assume that 10 measurements have been done for both machines. The first instrument measured 8.43 in average with sample variance 0.22 and the second instrument 8.07 with sample variance 0.17. Can you conclude that the calibrations of the two machines are significantly identical at level 5%? What is (approximately) the p-value of your test?
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
Topic Video
Question
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 3 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.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