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A factorial experiment was designed to test for any significant differences in the time needed to...

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 6 11 10
10 15 14
System 2 5 18 14
9 20 20

Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use  = .05.

  1. Complete the following ANOVA table (to 2 decimals, if necessary). Round p-value to four decimal places.
    Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value
    Factor A
    Factor B
    Interaction
    Error
    Total

  2. The p-value for Factor A is
    1. less than .005
    2. between .005 and .0125
    3. between .0125 and .025
    4. between .025 and .05
    5. greater than .05
  1. What is your conclusion with respect to Factor A?
    1. Factor A is significant
    2. Factor A is not significant
  2. The p-value for Factor B is
    1. less than .005
    2. between .005 and .0125
    3. between .0125 and .025
    4. between .025 and .05
    5. greater than .05

      What is your conclusion with respect to Factor B?
      1. Factor B is significant
      2. Factor B is not significant
  3. The p-value for the interaction of factors A and B is
    1. less than .005
    2. between .005 and .0125
    3. between .0125 and .025
    4. between .025 and .05
    5. greater than .05

      What is your conclusion with respect to the interaction of Factors A and B?
      1. The interaction of factors A and B is significant
      2. The interaction of factors A and B is not significant

Solutions

Expert Solution

Anova: Two-Factor With Replication
SUMMARY Spanish French German Total
System 1
Count 2 2 2 6
Sum 16 26 24 66
Average 8 13 12 11
Variance 8 8 8 10.4
System 2
Count 2 2 2 6
Sum 14 38 34 86
Average 7 19 17 14.33333
Variance 8 2 18 38.66667
Total
Count 4 4 4
Sum 30 64 58
Average 7.5 16 14.5
Variance 5.666667 15.33333 17
ANOVA
Source of Variation SS df MS F P-value F crit
Factor A 33.33333 1 33.33333 3.846154 0.097537994 5.987377607
Factor B 164.6667 2 82.33333 9.5 0.013824 5.14325285
Interaction 28.66667 2 14.33333 1.653846 0.267872232 5.14325285
Error 52 6 8.666667
Total 278.6667 11

a)
p-value of Factor A = 0.0975
greater than 0.05

since p-value > 0.05
Factor A is not significant
b)
p-value of factor B = 0.013824
between 0.0125 and 0.025

since p-value < 0.05
Factor B is significant


c) p-value of Interaction = 0.26787
greater than 0.05

since p-value > 0.05
Interaction is not significant


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