Question

In: Statistics and Probability

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 8 9 14
12 13 18
System 2 6 13 17
10 15 23

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 Select: 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?
    Select:Factor A is significant, Factor A is not significant
  3. The p-value for Factor B is Select: 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?
    Select: Factor B is significant, Factor B is not significant
  4. The p-value for the interaction of factors A and B is Select: 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?
    Select: The interaction of factors A and B is significant, The interaction of factors A and B is not significant

Solutions

Expert Solution

a)

Anova: Two-Factor With Replication
SUMMARY Spanish French German Total
System 1
Count 2 2 2 6
Sum 20 22 32 74
Average 10 11 16 12.33333
Variance 8 8 8 13.06667
System 2
Count 2 2 2 6
Sum 16 28 40 84
Average 8 14 20 14
Variance 8 2 18 34.4
Total
Count 4 4 4
Sum 36 50 72
Average 9 12.5 18
Variance 6.666667 6.333333 14
ANOVA
Source of Variation SS df MS F P-value F crit
factor A 8.333333 1 8.333333 0.961538 0.364669 5.987378
factor B 164.6667 2 82.33333 9.5 0.013824 5.143253
Interaction 20.66667 2 10.33333 1.192308 0.366441 5.143253
Within 52 6 8.666667
Total 245.6667 11

b)

The p-value for Factor A = 0.36467

greater than .05

Factor A is not significant

.........

c)

p value for B= 0.013

between .0125 and .025

: Factor B is significant

...............

d)

p value for interaction : 0.366441

greater than .05

The interaction of factors A and B is not significant

..................


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