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 8 14 15 12 18 19 System 2 4 17 17 8 19 23 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places. Source of Variation Sum of Squares Degrees of Freedom Mean Square -value Factor A Factor B Interaction Error Total The p-value for Factor A is: less than .005 between .005 and .0125 between .0125 and .025 between .025 and .05 greater than .05 What is your conclusion with respect to Factor A? Factor A is not significant Factor A is significantItem 22 The p-value for Factor B is: less than .005 between .005 and .0125 between .0125 and .025 between .025 and .05 greater than .05 What is your conclusion with respect to Factor B? Factor B is not significant Factor B is significant The p-value for the interaction of factors A and B is: less than .005 between .005 and .0125 between .0125 and .025 between .025 and .05 greater than .05 What is your conclusion with respect to the interaction of Factors A and B? he interaction of factors A and B is not significant The interaction of factors A and B is significant
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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.
Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use . Complete the following ANOVA table (to 2 decimals, if necessary). Round your p-value to 4 decimal places.
The p-value for Factor A is: less than .005 between .005 and .0125 between .0125 and .025 between .025 and .05 greater than .05
What is your conclusion with respect to Factor A? Factor A is not significant Factor A is significantItem 22
The p-value for Factor B is: less than .005 between .005 and .0125 between .0125 and .025 between .025 and .05 greater than .05
What is your conclusion with respect to Factor B? Factor B is not significant Factor B is significant
The p-value for the interaction of factors A and B is: less than .005 between .005 and .0125 between .0125 and .025 between .025 and .05 greater than .05
What is your conclusion with respect to the interaction of Factors A and B? he interaction of factors A and B is not significant The interaction of factors A and B is significant |
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