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| 1.
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In two-way ANOVA, we first test the |
| | A) | significance of factor 1. |
| | B) | significance of factor 2. |
| | C) | significance of main effects. |
| | D) | interaction between factors 1 and 2. |
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| 2.
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_________________ sum of squares measures the variability of the observed values of the response variable around their respective treatment means. |
| | A) | Treatment |
| | B) | Error |
| | C) | Interaction |
| | D) | Total |
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| 3.
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Based on the results of a two factor, factorial experiment, the ANOVA table showed that SSE = 5.5. If we ignore one of the factors and perform a one-way ANOVA using the same data, the SSE will ________________ be smaller than 5.5. |
| | A) | always |
| | B) | sometimes |
| | C) | never |
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| 4.
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The advantage of the randomized block design over the completely randomized design is that we are comparing the treatments by using ____________________ experimental units. |
| | A) | randomly selected |
| | B) | the same |
| | C) | different |
| | D) | representative |
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| 5.
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Different levels of a factor are called |
| | A) | treatments. |
| | B) | variables. |
| | C) | responses. |
| | D) | observations. |
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| 6.
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In a one-way analysis of variance with three treatments, each with five measurements, in which a completely randomized design is used, what is the degrees of freedom for treatments? |
| | A) | 5 |
| | B) | 2 |
| | C) | 4 |
| | D) | 8 |
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| 7.
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Consider the one-way ANOVA table above. What is the mean square error? |
| | A) | 71.297 |
| | B) | .5604 |
| | C) | 1.297 |
| | D) | 213.8810 |
| | E) | 9.7 |
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| 8.
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Consider the above one-way ANOVA table. If there are an equal number of observations in each group, then each group (treatment level) consists of ____________ observations. |
| | A) | 3 |
| | B) | 4 |
| | C) | 6 |
| | D) | 20 |
| | E) | 24 |
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| 9.
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Which of the following is not found in a two-way ANOVA table. |
| | A) | Sum of squares due to interaction. |
| | B) | Sum of squares due to factor 1. |
| | C) | Sum of squares due to factor 2. |
| | D) | F(randomization). |
| | E) | F(interaction). |
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| 10.
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When we compute 100 (1-α)% simultaneous confidence intervals, the value of α is called |
| | A) | comparisonwise error rate |
| | B) | Tukey simultaneous error rate |
| | C) | experimentwise error rate |
| | D) | pairwise error rate |
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| 11.
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When using completely randomized design (one-way) ANOVA, if the between-treatment variability is _______________ compared to the within-treatment variability, the value of F will be ________________ |
| | A) | small, large. |
| | B) | large, small. |
| | C) | large, large. |
| | D) | equal to, large. |
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| 12.
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After rejecting the null hypothesis of equal treatments, a researcher decided to compute a 95% confidence interval for the difference between the mean of treatment 1 and mean of treatment 2 based on Tukey's procedure. At α = .05, if the confidence interval includes the value of zero, then we can reject the hypothesis that the two population means are equal. |
| | A) | True |
| | B) | False |
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