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Chapter 11: Multifactor Analysis of Variance36.Source Df SS MS f F .01 *A (laundry treatment) 3 39.171 13.057 16.23 3.95B (pen type) 2 .665 .3325 .41 4.79C (Fabric type) 5 21.508 4.3016 5.35 3.17AB 6 1.432 .2387 .30 2.96AC 15 15.953 1.0635 1.32 2.19BC 10 1.382 .1382 .17 2.47ABC 30 9.016 .3005 .37 1.86Error 144 115.820 .8043Total 215 204.947*Because denominator degrees of freedom for 144 is not tabled, use 120.At the level .01, there are two statistically significant main effects (laundry treatment andfabric type). There are no statistically significant interactions.334
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Chapter 1: Overview and Descriptive
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CHAPTER 2Section 2.11.a. S = { 1324
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Chapter 2: Probability5.a.OutcomeNu
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Chapter 2: Probability8.a. A 1 ∪
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Chapter 2: Probability9.a. In the d
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Chapter 2: Probabilityf. either (ne
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Chapter 2: Probability17.a. The pro
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Chapter 2: Probability24. Since A i
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Chapter 2: ProbabilitySection 2.329
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Chapter 2: Probability34.⎛20⎞
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Chapter 2: Probabilityd. To examine
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Chapter 2: Probability42. Seats:2
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Chapter 2: Probability47.P(A ∩ B)
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Chapter 2: ProbabilityP(M ∩ SS
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Chapter 2: Probabilityc. P(all H’
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Chapter 2: Probability61. P(0 def i
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Chapter 2: Probability63.a.b. P(A
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Chapter 2: Probability66. Define ev
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Chapter 2: ProbabilitySection 2.568
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Chapter 2: Probability79.Using the
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Chapter 2: Probabilityd. P(passes i
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Chapter 2: ProbabilitySupplementary
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Chapter 2: Probability93.1a. There
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Chapter 2: Probability101.a. The la
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Chapter 2: Probabilityd. For what v
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CHAPTER 3Section 3.11.S: FFF SFF FS
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Chapter 3: Discrete Random Variable
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CHAPTER 4Section 4.11.1∫ −∞11
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Chapter 4: Continuous Random Variab
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CHAPTER 5Section 5.11.a. P(X = 1, Y
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Chapter 5: Joint Probability Distri
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CHAPTER 6Section 6.11.a. We use the
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Chapter 6: Point Estimation6.a. Let
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Chapter 6: Point Estimation(.635)(.
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Chapter 6: Point Estimation19.λ ,
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Chapter 6: Point Estimation23. For
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Chapter 6: Point Estimation29.a. Th
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Chapter 6: Point Estimation35.xi+ x
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CHAPTER 7Section 7.11.z implies tha
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Chapter 7: Statistical Intervals Ba
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CHAPTER 8Section 8.11.a. Yes. It is
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Chapter 8: Tests of Hypotheses Base
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CHAPTER 9Section 9.11.a. E ( X −
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Chapter 9: Inferences Based on Two
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50. Let = . 05Chapter 9: Inferences
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78. Let µ1denote the true average
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CHAPTER 10Section 10.11.a. H o will
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Chapter 10: The Analysis of Varianc
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Chapter 12: Simple Linear Regressio
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Chapter 13: Nonlinear and Multiple
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Chapter 14: The Analysis of Categor
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Chapter 15: Distribution-Free Proce
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Chapter 16: Quality Control Methods
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