SME_8e_Ch_14_Section_5

# SME_8e_Ch_14_Section_5 - CHAPTER 14 SECTION 5 ANALYSIS OF...

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1 CHAPTER 14 SECTION 5: ANALYSIS OF VARIANCE MULTIPLE CHOICE 128. A complete 3 × 2 factorial experiment is called balanced if: a. data is collected at all three levels of factor A. b. data is collected at both levels of factor B. c. the number of replicates is the same for each of the 6 treatments. d. None of these choices. ANS: C PTS: 1 REF: SECTION 14.5 129. In the two-factor ANOVA where a is the number of factor A levels, b is the number of factor B levels, and r is the number of replicates, the number of degrees of freedom for interaction is: 130. In a two-factor ANOVA, where a is the number of factor A levels and b is the number of factor B levels, the number of degrees of freedom for the interaction term is 131. In the two-factor ANOVA where a is the number of factor A levels, b is the number of factor B levels, r is the number of replicates, and n is the total number of observations, the number of degrees of freedom for error is: 132. The equation: SS(Total) = SS(A) + SS(B) + SS(AB) + SSE applies to which ANOVA model? a. One-way ANOVA with 2 treatments. b. Two-factor ANOVA with interaction. c. Two-factor ANOVA with no interaction. d. None of these choices. ANS: B PTS: 1 REF: SECTION 14.5

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2 133. When the effect of a level for one factor depends on which level of another factor is present, the most appropriate ANOVA design to use in this situation is the:
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