mont4e_sm_ch09_sec01 - CHAPTER 9 Section 9-1 9-1 a) H 0 : =...

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9-1 CHAPTER 9 Section 9-1 9-1 a) 25 : , 25 : 1 0 = μ H H Yes, because the hypothesis is stated in terms of the parameter of interest, inequality is in the alternative hypothesis, and the value in the null and alternative hypotheses matches. b) 10 : , 10 : 1 0 = > σ H H No, because the inequality is in the null hypothesis. c) 50 : , 50 : 1 0 = x H x H No, because the hypothesis is stated in terms of the statistic rather than the parameter. d) 3 . 0 : , 1 . 0 : 1 0 = = p H p H No, the values in the null and alternative hypotheses do not match and both of the hypotheses are equality statements. e) 30 : , 30 : 1 0 > = s H s H No, because the hypothesis is stated in terms of the statistic rather than the parameter. 9-2 The conclusion does not provide strong evidence that the critical dimension mean equals 100nm. The conclusion is that we don’t have enough evidence to reject the null hypothesis. 9-3 a) nm H nm H 20 : , 20 : 1 0 < = b) This result does not provide strong evidence that the standard deviation has not been reduced. This result says that we do not have enough evidence to reject the null hypothesis. It is not support for the null hypothesis. 9-4 a) Newtons H Newtons H 25 : , 25 : 1 0 < = b) No, this results only means that we do not have enough evidence to support H 1 9-5 a) α = P(reject H 0 when H 0 is true) = P( X 11.5 when μ = 12) = 4 / 5 . 0 12 5 . 11 / n X P = P(Z 2) = 0.02275. The probability of rejecting the null hypothesis when it is true is 0.02275. b) β = P(accept H 0 when μ = 11.25) = ( ) 25 . 11 5 . 11 = > when X P = > 4 / 5 . 0 25 . 11 5 . 11 / n X P = P(Z > 1.0) = 1 P(Z 1.0) = 1 0.84134 = 0.15866 The probability of accepting the null hypothesis when it is false is 0.15866. c) β = P(accept H 0 when μ = 11.25) = = () 5 . 11 5 . 11 = > when X P = > 4 / 5 . 0 5 . 11 5 . 11 / n X P = P(Z > 0) = 1 P(Z 0) = 1 0.5 = 0.5 The probability of accepting the null hypothesis when it is false is 0.5
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9-2 9-6 a) α = P( X 11.5 | μ = 12) = 16 / 5 . 0 12 5 . 11 / n X P σ μ = P(Z 4) = 0. The probability of rejecting the null, when the null is true, is approximately 0 with a sample size of 16. b) β = P( X > 11.5 | μ =11.25) = > 16 / 5 . 0 25 . 11 5 . 11 / n X P = P(Z > 2) = 1 P(Z 2)= 1 0.97725 = 0.02275. The probability of accepting the null hypothesis when it is false is 0.02275. c) β = P( X > 11.5 | μ =11.5) = > 16 / 5 . 0 5 . 11 5 . 11 / n X P = P(Z > 0) = 1 P(Z 0) = 1 0.5 = 0.5 The probability of accepting the null hypothesis when it is false is 0.5.
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This note was uploaded on 10/12/2009 for the course IND E 315 taught by Professor Kailashkapur during the Spring '09 term at University of Washington.

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mont4e_sm_ch09_sec01 - CHAPTER 9 Section 9-1 9-1 a) H 0 : =...

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