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Problem 2 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 ni independent measurements of the intensity of 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 X1,..., Xn for the first instrument and by Yı,..., Yng for the second one. Intrinsic defects of the instruments will lead to measurement errors, and it is reasonable to assume that X1,..., X are iid Gaussian and so are Yı,..., Yn2. If the two instruments are identically calibrated, the X,'s and the Y,'s should have the same expectation but may not have the same variance, since the two instruments may not have the same precision. i.i.d. i.i.d. N(H1, oi) and Y1,..., Yn2 N(42, o3), Hence, we assume that X1,..., Xn where u1, l2 € R and o, o? > 0, and that the two samples are independent of each other. We want to test whether µi = µ2. 1. Recall the expression of the maximum likelihood estimators for (1, o) and for (42, o3). Denote these estimators by (@1, ô) and (û2, ô;). 1 2. Recall the distribution of and of of 3. What is the distribution of of

Problem 2 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 ni independent measurements of the intensity of 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 X1,..., Xn for the first instrument and by Yı,..., Yng for the second one. Intrinsic defects of the instruments will lead to measurement errors, and it is reasonable to assume that X1,..., X are iid Gaussian and so are Yı,..., Yn2. If the two instruments are identically calibrated, the X,'s and the Y,'s should have the same expectation but may not have the same variance, since the two instruments may not have the same precision. i.i.d. i.i.d. N(H1, oi) and Y1,..., Yn2 N(42, o3), Hence, we assume that X1,..., Xn where u1, l2 € R and o, o? > 0, and that the two samples are independent of each other. We want to test whether µi = µ2. 1. Recall the expression of the maximum likelihood estimators for (1, o) and for (42, o3). Denote these estimators by (@1, ô) and (û2, ô;). 1 2. Recall the distribution of and of of 3. What is the distribution of of

MATLAB: An Introduction with Applications
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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Please solve below questions part 2 and 3.

 

Note:-Please don't mark this question as complex or unclear(image is clear please view in computer) and this is practice question zo don't mark as graded and someone already answered one part of this question on bartleby because I asked only part 2 and 3 

Problem 2 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 ni independent measurements of the intensity of a given wave using the first instrument, and n2 measurements on the same wave using the second instrument. The integers ni 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 X1, . . ., Xn for the first instrument and by Y1, .. ., Ynz for the second one. Intrinsic defects of the instruments will lead to measurement errors, and it is reasonable to assume that X1, ..., Xn are iid Gaussian and so are Y1,..., Ynz: If the two instruments are identically calibrated, the X,'s and the Y,'s should have the same expectation but may not have the same variance, since the two instruments may not have the same precision. i.i.d. i.i.d. N(H1, o}) and Y1,..., Yna N(42, 03), Hence, we assume that X1, ..., Xn1 where u1, l2 ER and o?, o > 0, and that the two samples are independent of each other. We want to test whether u1 = l2. 2~ 1. Recall the expression of the maximum likelihood estimators for (u1, o?) and for (42, o). Denote these estimators by (@1, ô?) and (i2, 6). and of of 2. Recall the distribution of 3. What is the distribution of of 4. Let A = p - 2. What is the distribution of A ? 5. Consider the following hypotheses: Ho : "1 = 42" vs. Ho : "H1 = H2". Here and in the next question we assume that of o. Based on the previous questions, propose a test with non asymptotic level a E (0, 1) for Ho against H1. 6. Assume that 10 measurements have been done for both machines. The first in- strument measured 8.43 in average with sample variance 0.22 and the second in- strument measured 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 ?
Transcribed Image Text:Problem 2 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 ni independent measurements of the intensity of a given wave using the first instrument, and n2 measurements on the same wave using the second instrument. The integers ni 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 X1, . . ., Xn for the first instrument and by Y1, .. ., Ynz for the second one. Intrinsic defects of the instruments will lead to measurement errors, and it is reasonable to assume that X1, ..., Xn are iid Gaussian and so are Y1,..., Ynz: If the two instruments are identically calibrated, the X,'s and the Y,'s should have the same expectation but may not have the same variance, since the two instruments may not have the same precision. i.i.d. i.i.d. N(H1, o}) and Y1,..., Yna N(42, 03), Hence, we assume that X1, ..., Xn1 where u1, l2 ER and o?, o > 0, and that the two samples are independent of each other. We want to test whether u1 = l2. 2~ 1. Recall the expression of the maximum likelihood estimators for (u1, o?) and for (42, o). Denote these estimators by (@1, ô?) and (i2, 6). and of of 2. Recall the distribution of 3. What is the distribution of of 4. Let A = p - 2. What is the distribution of A ? 5. Consider the following hypotheses: Ho : "1 = 42" vs. Ho : "H1 = H2". Here and in the next question we assume that of o. Based on the previous questions, propose a test with non asymptotic level a E (0, 1) for Ho against H1. 6. Assume that 10 measurements have been done for both machines. The first in- strument measured 8.43 in average with sample variance 0.22 and the second in- strument measured 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 ?
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