In: Statistics and Probability
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 | 8 | 14 |
11 | 12 | 18 | |
System 2 | 5 | 16 | 19 |
9 | 18 | 25 |
Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use = .05.
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
Factor A | |||||
Factor B | |||||
Interaction | |||||
Error | |||||
Total |
Excel > Data > Data Analysis > Anova: Two-Factor With Replication
Anova: Two-Factor With Replication | ||||||
SUMMARY | Spanish | French | German | Total | ||
System 1 | ||||||
Count | 2 | 2 | 2 | 6 | ||
Sum | 18 | 20 | 32 | 70 | ||
Average | 9 | 10 | 16 | 11.66666667 | ||
Variance | 8 | 8 | 8 | 16.26666667 | ||
System 2 | ||||||
Count | 2 | 2 | 2 | 6 | ||
Sum | 14 | 34 | 44 | 92 | ||
Average | 7 | 17 | 22 | 15.33333333 | ||
Variance | 8 | 2 | 18 | 52.26666667 | ||
Total | ||||||
Count | 4 | 4 | 4 | |||
Sum | 32 | 54 | 76 | |||
Average | 8 | 13.5 | 19 | |||
Variance | 6.666666667 | 19.66666667 | 20.66666667 | |||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Factor A | 40.33333333 | 1 | 40.33333333 | 4.653846154 | 0.074355681 | 5.987377607 |
Factor B | 242 | 2 | 121 | 13.96153846 | 0.005533094 | 5.14325285 |
Interaction | 48.66666667 | 2 | 24.33333333 | 2.807692308 | 0.137832923 | 5.14325285 |
Within | 52 | 6 | 8.666666667 | |||
Total | 383 | 11 |
b)
p value for Factor A = 0.0743
P value > 0.05, Do not reject H0
Factor A is not significant
c)
p-value for Factor B = 0.0055
P value between .005 and .0125
Factor B is significant because P value < 0.05
d)
The p-value for the interaction of factors A and B is 0.1378
P value > 0.05
The interaction of factors A and B is not significant