(a) Now the factory wants to test the hypothesis that for each n = 45 product, the mean number of unremovable defects is less than 3.6. Take a = 0.025, Hoμ ≥ 3.6, H₁ μ< 3.6, conduct the hypothesis testing. (Hint: Consider the central limit theorem, regarding here n = 45 > 30 is pretty large. Also tn can be approximated by N(0, 1) when n > 30 is large enough generally, in case you cannot find the result in t-table.) (b) With the current data (X, S), and your decision above, what type of error could you have made? (Just provide the result, no arguments required)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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LCD (Liquid Crystal Display) is difficult to produce. Some defects are minor and
can be removed, while some others are unremovable. A factory count the number of
unremovable defects for each of n = 45 displays, and find that the sample average
X = 2.467 and the sample standard deviation is S = 3.057. Let's assume the number
of unremovable defects for each display follows the same (unknown) distribution.
(a) Now the factory wants to test the hypothesis that for each n = 45 product,
the mean number of unremovable defects is less than 3.6. Take a = 0.025,
Hoµ ≥ 3.6, H₁ : μ< 3.6, conduct the hypothesis testing.
(Hint: Consider the central limit theorem, regarding here n = 45 > 30 is pretty
large. Also t can be approximated by N(0, 1) when n > 30 is large enough
generally, in case you cannot find the result in t-table.)
(b) With the current data (X, S), and your decision above, what type of error could
you have made? (Just provide the result, no arguments required)
Transcribed Image Text:LCD (Liquid Crystal Display) is difficult to produce. Some defects are minor and can be removed, while some others are unremovable. A factory count the number of unremovable defects for each of n = 45 displays, and find that the sample average X = 2.467 and the sample standard deviation is S = 3.057. Let's assume the number of unremovable defects for each display follows the same (unknown) distribution. (a) Now the factory wants to test the hypothesis that for each n = 45 product, the mean number of unremovable defects is less than 3.6. Take a = 0.025, Hoµ ≥ 3.6, H₁ : μ< 3.6, conduct the hypothesis testing. (Hint: Consider the central limit theorem, regarding here n = 45 > 30 is pretty large. Also t can be approximated by N(0, 1) when n > 30 is large enough generally, in case you cannot find the result in t-table.) (b) With the current data (X, S), and your decision above, what type of error could you have made? (Just provide the result, no arguments required)
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