In: Math
A 99% CI on the difference between means will be (longer than/wider than/the same length as/shorter than/narrower than )a 95% CI on the difference between means.
In semiconductor manufacturing, wet chemical etching is often
used to remove silicon from the backs of wafers prior to
metalization. The etch rate is an important characteristic 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 each solution. Assume the variances are equal. The
etch rates are as follows (in mils per minute):
Solution 1 |
Solution 2 |
|||
9.8 |
10.2 |
10.6 |
10.4 |
|
9.4 |
10.3 |
10.6 |
10.2 |
|
9.3 |
10.0 |
10.7 |
10.7 |
|
9.6 |
10.3 |
10.4 |
10.4 |
|
10.2 |
10.1 |
10.5 |
10.3 |
(a) Calculate the sample mean for solution 1: x¯1= Round
your answer to two decimal places (e.g. 98.76).
(b) Calculate the sample standard deviation for solution 1:
s1 = Round your answer to three
decimal places (e.g. 98.765).
(c) Calculate the sample mean for solution 2: x¯2= Round
your answer to two decimal places (e.g. 98.76).
(d) Calculate the sample standard deviation for solution 2:
s1 = Round your answer to three
decimal places
(e) Test the hypothesis H0:μ1=μ2 vs H1:μ1≠μ2.
Calculate t0 = Round your answer to
two decimal places (e.g. 98.76).
(f) Do the data support the claim that the mean etch rate is
different for the two solutions? Use α=0.05.
yesno
(g) Calculate a 95% two-sided confidence interval on the difference
in mean etch rate.
(Calculate using the following order: x¯1-x¯2)
( ≤ μ1-μ2 ≤ ) Round your answers to
three decimal places (e.g. 98.765).