Solution 1 9.9 9.4 9.3 9.6 10.2 10.6 10.3 10.0 10.3 10.1 Solution 2 10.2 10.6 10.7 10.4 10.5 10.0 10.2 10.7 10.4 10.3 (a) Do the data support the claim that the mean etch rate is the same for both solutions? In reaching your conclusions, use a fixed-level test with a = 0.05 and assume that both population variances are equal. (b) Calculate a P-value for the test in part (a). (c) Find a 95% CI on the difference in mean etch rates. (d) Construct normal probability plots for the two samples. Do these plots provide support for the assumptions of normality and equal variances? Write a practical interpre- tation for these plots.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Parts a-d
5-23. In semiconductor manufacturing, wet chemical etch-
ing is often used to remove silicon from the backs of wafers
Transcribed Image Text:5-23. In semiconductor manufacturing, wet chemical etch- ing is often used to remove silicon from the backs of wafers
prior to metalization. The etch rate is an important character-
istic in this process and known to follow a normal distribution.
Two different etching solutions have been compared, using
two random samples of 10 wafers for etch solution. The
observed etch rates are as follows (in mils/min):
Solution 1
9.9
9.4
9.3
9.6
10.2
10.6
10.3
10.0
10.3
10.1
Solution 2
10.2
10.6
10.7
10.4
10.5
10.0
10.2
10,7
10.4
10.3
(a) Do the data support the claim that the mean etch rate is the
same for both solutions? In reaching your conclusions,
use a fixed-level test with a = 0.05 and assume that both
population variances are equal.
(b) Calculate a P-value for the test in part (a).
(c) Find a 95% CI on the difference in mean etch rates.
(d) Construct normal probability plots for the two samples.
Do these plots provide support for the assumptions of
normality and equal variances? Write a practical interpre-
tation for these plots.
Transcribed Image Text:prior to metalization. The etch rate is an important character- istic in this process and known to follow a normal distribution. Two different etching solutions have been compared, using two random samples of 10 wafers for etch solution. The observed etch rates are as follows (in mils/min): Solution 1 9.9 9.4 9.3 9.6 10.2 10.6 10.3 10.0 10.3 10.1 Solution 2 10.2 10.6 10.7 10.4 10.5 10.0 10.2 10,7 10.4 10.3 (a) Do the data support the claim that the mean etch rate is the same for both solutions? In reaching your conclusions, use a fixed-level test with a = 0.05 and assume that both population variances are equal. (b) Calculate a P-value for the test in part (a). (c) Find a 95% CI on the difference in mean etch rates. (d) Construct normal probability plots for the two samples. Do these plots provide support for the assumptions of normality and equal variances? Write a practical interpre- tation for these plots.
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