The thickness of a plastic film (in mils) on a sub- strate material is thought to be influenced by the temperature at which the coating is applied. A completely randomized experiment is carried out. Eleven substrates are coated at 125°F, resulting in a sample mean coating thickness of = 103.5 and a sample standard deviation of s = 10.2. Another 13 substrates are coated at 150°F, for which F2 = 99.7 and sz = 20.1 are observed. It was originally suspected that raising the process temperature would reduce mean coating thickness. Find a 99% confidence interval on the difference in mean coating thickness Hi- Hz. Assume each population is normally distributed but that their variances are not equal.
The thickness of a plastic film (in mils) on a sub- strate material is thought to be influenced by the temperature at which the coating is applied. A completely randomized experiment is carried out. Eleven substrates are coated at 125°F, resulting in a sample mean coating thickness of = 103.5 and a sample standard deviation of s = 10.2. Another 13 substrates are coated at 150°F, for which F2 = 99.7 and sz = 20.1 are observed. It was originally suspected that raising the process temperature would reduce mean coating thickness. Find a 99% confidence interval on the difference in mean coating thickness Hi- Hz. Assume each population is normally distributed but that their variances are not equal.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Question
![The thickness of a plastic film (in mils) on a sub-
strate material is thought to be influenced by the temperature
at which the coating is applied. A completely randomized
experiment is carried out. Eleven substrates are coated at
125°F, resulting in a sample mean coating thickness of
= 103.5 and a sample standard deviation of s1 = 10.2.
Another 13 substrates are coated at 150°F, for which , = 99.7
and s2 = 20.1 are observed. It was originally suspected that
raising the process temperature would reduce mean coating
thickness.
Find a 99% confidence interval on the difference in mean
coating thickness Hi - H2.
Assume each population is normally distributed but that their
variances are not equal.
What is the lower bound? Two decimal places](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F72d91f9b-b247-4e11-95f0-679260b4d964%2Fb7a86ea8-8b34-4f61-b486-6ea031a6dd01%2Fwjdiw2_processed.png&w=3840&q=75)
Transcribed Image Text:The thickness of a plastic film (in mils) on a sub-
strate material is thought to be influenced by the temperature
at which the coating is applied. A completely randomized
experiment is carried out. Eleven substrates are coated at
125°F, resulting in a sample mean coating thickness of
= 103.5 and a sample standard deviation of s1 = 10.2.
Another 13 substrates are coated at 150°F, for which , = 99.7
and s2 = 20.1 are observed. It was originally suspected that
raising the process temperature would reduce mean coating
thickness.
Find a 99% confidence interval on the difference in mean
coating thickness Hi - H2.
Assume each population is normally distributed but that their
variances are not equal.
What is the lower bound? Two decimal places
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