A factorial experiment involving two levels of factor A and
three levels of factor B resulted in the following data.
Factor B | ||||
Level 1 | Level 2 | Level 3 | ||
125 | 100 | 65 | ||
Level 1 | ||||
155 | 76 | 103 | ||
Factor A | ||||
105 | 147 | 140 | ||
Level 2 | ||||
95 | 125 | 156 |
Test for any significant main effects and any interaction. Use . Round Sum of Squares, value, Mean Square to two decimals, if necessary and -value to four decimals.
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square | F value | p-value | Conclusion |
Factor A | - Select your answer -SignificantNot significantItem 6 | |||||
Factor B | - Select your answer -SignificantNot significantItem 12 | |||||
Interaction | - Select your answer -SignificantNot significantItem 18 | |||||
Error | ||||||
Total |
Output using Excel:
Anova: Two-Factor With Replication | ||||||
SUMMARY | Level B1 | Level B2 | Level B3 | Total | ||
Level A1 | ||||||
Count | 2 | 2 | 2 | 6 | ||
Sum | 280 | 176 | 168 | 624 | ||
Average | 140 | 88 | 84 | 104 | ||
Variance | 450 | 288 | 722 | 1072.8 | ||
Level A2 | ||||||
Count | 2 | 2 | 2 | 6 | ||
Sum | 200 | 272 | 296 | 768 | ||
Average | 100 | 136 | 148 | 128 | ||
Variance | 50 | 242 | 128 | 583.2 | ||
Total | ||||||
Count | 4 | 4 | 4 | |||
Sum | 480 | 448 | 464 | |||
Average | 120 | 112 | 116 | |||
Variance | 700 | 944.6667 | 1648.667 | |||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | Conclusion |
Factor A | 1728 | 1 | 1728 | 5.5149 | 0.0572 | Not significant |
Factor B | 128 | 2 | 64 | 0.2043 | 0.8207 | Not significant |
Interaction | 6272 | 2 | 3136 | 10.0085 | 0.0123 | Significant |
Error | 1880 | 6 | 313.33 | |||
Total | 10008 | 11 |
A factorial experiment involving two levels of factor A and three levels of factor B resulted...
A factorial experiment involving two levels of factor A and three levels of factor B resulted in the following data. Factor B Level 1 Level 2 Level 3 135 90 75 Level 1 165 93 Factor A 135 127 120 Level 2 85 105 136 Test for any significant main effects and any interaction. Use α-.05. Round Sum of Squares, F value, Mean Square to two decimals, if necessary. Source of Variation Factor A Factor B Interaction Error Total Sum...
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eBook 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 = 294, SSA 22, SSB-21, SSAB = 195. Set up the ANOVA table and test for significance using a = .05. Show entries to 2 decimals, if necessary. If the answer is zero enter "0". o Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A Factor B...
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=294, SSA=24, SSB=26, SSAB=185. Set up the ANOVA table and test for significance using a= .05. Show entries to 2 decimals, if necessary. If the answer is zero enter “0”. Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A Factor B Interaction Error Total
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 278, SSA 21, SSB = 24, SSAB = 180. a. set up the ANOVA table and test for significance using ?-.05. Show entries to 2 decimals, if necessary. Round p-value to four decimal places. If your answer is zero enter "O". Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A...
eBook 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 = 279, SSA = 24, SSB = 22, SSAB = 175. Set up the ANOVA table and test for significance using a = .05. Show entries to 2 decimals, if necessary. If the answer is zero enter "0" Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Factor A...
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 = 256. SSA = 21, SSB = 23, SSAB a. Set up the ANOVA table and test for significance using a Show entries to 2 decimals, if necessary. Round p value to our decimal places. If your ars er s zero enter- . 160 Source of Variation Sum of Squares Degrees of Freedom Mean...
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-273, SSA = 20, SSB = 22, SSAB- 180. a. Set up the ANO A table and test for significance using α .05. Show entries to 2 decimals, f necessary. Roundo value to ou deci al aces. Our answer zer enter Source of Variation Sum of Squares Degrees of Freedom Mean Square Factor A Factor...
3. Consider a two-factor factorial design with three levels in factor A, four levels in factor B, and four replicates in each of the 12 cells. Complete parts (a) through (d). a. How many degrees of freedom are there in determining the factor A variation and the factor B variation? There is/are degree(s) of freedom in determining the factor A variation. (Simplify your answer.) There is/are degree(s) of freedom in determining the factor B variation. (Simplify your answer.) b. How...
A factorial experiment was designed to test for any significant differences in the time needed to perform English to foreign language translations with two computerized language translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours. Language Spanish French German System 1 13 System 2 16 10 22 Test for any significant differences due...