You may need to use the appropriate technology to answer this question.
The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 282, SSA = 28, SSB = 22, SSAB = 179. Set up the ANOVA table. (Round your values for mean squares and F to two decimal places, and your p-values to three decimal places.)
| Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
|---|---|---|---|---|---|
| Factor A | |||||
| Factor B | |||||
| Interaction | |||||
| Error | |||||
| Total |
Test for any significant main effects and any interaction effect. Use α = 0.05.
Find the value of the test statistic for factor A. (Round your answer to two decimal places.)
Find the p-value for factor A. (Round your answer to three decimal places.)
p-value =
State your conclusion about factor A.
Because the p-value > α = 0.05, factor A is significant.Because the p-value > α = 0.05, factor A is not significant. Because the p-value ≤ α = 0.05, factor A is significant.Because the p-value ≤ α = 0.05, factor A is not significant.
Find the value of the test statistic for factor B. (Round your answer to two decimal places.)
Find the p-value for factor B. (Round your answer to three decimal places.)
p-value =
State your conclusion about factor B.
Because the p-value > α = 0.05, factor B is not significant.Because the p-value > α = 0.05, factor B is significant. Because the p-value ≤ α = 0.05, factor B is significant.Because the p-value ≤ α = 0.05, factor B is not significant.
Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)
Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)
p-value =
State your conclusion about the interaction between factors A and B.
Because the p-value ≤ α = 0.05, the interaction between factors A and B is not significant.
Because the p-value > α = 0.05, the interaction between factors A and B is not significant.
Because the p-value > α = 0.05, the interaction between factors A and B is significant.
Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant.
You may need to use the appropriate technology to answer this question. The calculations for a...
4. + -/16.66 points ASWSBE 1313E029 My Notes Ask Your Teacher You may need to use the appropriate technology to answer this question The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST 283, SSA = 28, SSB = 23, SSAB = 177' Set up the ANOVA table. (Round your values for mean squares and F to two decimal places, and your p-values to...
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Timed assignment. please hurry.
You may need to use the appropriate technology to answer this question. The following data are from a completely randomized design. In the following calculations, use a = 0.05. Treatment Treatment Treatment 69 47 51 77 58 130.00 84.67 91.33 (a) Use analysis of variance to test for a significant difference among the means of the three treatments. State the null and alternative hypotheses. Ở Họ: H = A2= 43 H: Not all the population means...
An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride,...
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