Q3. Two quality control technicians measured the surface finish of a metal part, obtaining the data in the table below. Assume that the measurements are normally distributed. Surface Finish Data: Technician 1 1.45 1.37 1.21 1.54 1.48 1.29 1.34 Technician 2 1.54 1.41 1.56 1.37 1.2 1.31 1.27 1.35 (a) Test the hypothesis that the mean surface finish measurements made by the two technicians are equal. Use a 0.05, and assume equal variances. (b) What are the practical implications of the test in part (a)? Discuss what practical conclusions you would draw if the null hypothesis were rejected. (c) Assuming that the variances are equal, construct a 95% confidence interval on the mean difference in surface-finish measurements.
Q3. Two quality control technicians measured the surface finish of a metal part, obtaining the data in the table below. Assume that the measurements are normally distributed. Surface Finish Data: Technician 1 1.45 1.37 1.21 1.54 1.48 1.29 1.34 Technician 2 1.54 1.41 1.56 1.37 1.2 1.31 1.27 1.35 (a) Test the hypothesis that the mean surface finish measurements made by the two technicians are equal. Use a 0.05, and assume equal variances. (b) What are the practical implications of the test in part (a)? Discuss what practical conclusions you would draw if the null hypothesis were rejected. (c) Assuming that the variances are equal, construct a 95% confidence interval on the mean difference in surface-finish measurements.
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Question
Two quality control technicians measured the surface finish of a metal part, obtaining the data in the table below. Assume that the measurements are normally distributed.

Transcribed Image Text:Q3. Two quality control technicians measured the surface finish of a metal part, obtaining the data
in the table below. Assume that the measurements are normally distributed.
Surface Finish Data:
Technician 1 Technician 2
1.45
1.54
1.37
1.41
1.21
1.56
1.54
1.37
1.48
1.2
1.29
1.31
1.34
1.27
1.35
(a) Test the hypothesis that the mean surface finish measurements made by the two technicians are equal.
Use a 0.05, and assume equal variances.
(b) What are the practical implications of the test in part (a)? Discuss what practical conclusions you
would draw if the null hypothesis were rejected.
(c) Assuming that the variances are equal, construct a 95% confidence interval on the mean difference in
surface-finish measurements.
(d) Test the hypothesis that the variances of the measurements made by the two technicians are equal. Use
a=0.05. What are the practical implications if the null hypothesis is rejected?
(e) Construct a 95% confidence interval estimate of the ratio of the variances of technician measurement
error.
(f) Construct a 95% confidence interval on the variance of measurement error for technician 2
Expert Solution

Step 1
Let, denotes technician -1 and denotes technician -2.
The dataset is given as:
1.45 | 1.54 |
1.37 | 1.41 |
1.21 | 1.56 |
1.54 | 1.37 |
1.48 | 1.2 |
1.29 | 1.31 |
1.34 | 1.27 |
1.35 |
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