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 15 11 17 19 System 2 4 18 16 8 20 22 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use a = 0.05. 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 F p-value Factor A Factor B Interaction Error Total The p-value for Factor A is- Select your answer - What is your conclusion with respect to Factor A? - Select your answer - The p-value for Factor B is Select your answer - What is your conclusion with respect to Factor B? - Select your answer - The p-value for the interaction of factors A and B is - Select your answer- What is your conclusion with respect to the interaction of Factors A and B? - Select your answer-

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
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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.
Language
Spanish
French
German
System 1
7
13
15
11
17
19
System 2
4
18
16
8
20
22
Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use a = 0.05.
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
p-value
Factor A
Factor B
Interaction
Error
Total
The p-value for Factor A is - Select your answer -
What is your conclusion with respect to Factor A?
- Select your answer -
The p-value for Factor B is
Select your answer -
수
What is your conclusion with respect to Factor B?
|- Select your answer -
The p-value for the interaction of factors A and B is
Select your answer -
What is your conclusion with respect to the interaction of Factors A and B?
Select your answer -
Transcribed Image Text: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 7 13 15 11 17 19 System 2 4 18 16 8 20 22 Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use a = 0.05. 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 p-value Factor A Factor B Interaction Error Total The p-value for Factor A is - Select your answer - What is your conclusion with respect to Factor A? - Select your answer - The p-value for Factor B is Select your answer - 수 What is your conclusion with respect to Factor B? |- Select your answer - The p-value for the interaction of factors A and B is Select your answer - What is your conclusion with respect to the interaction of Factors A and B? Select your answer -
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