In: Statistics and Probability
The effects of detergent brand name (factor A in columns) and the temperature of the water (factor B in rows) on the brightness of washed fabrics are being studied. Four brand names and two temperature levels are used; six observations for each combination are examined. The following ANOVA table is produced.
ANOVA | ||||||
Source of Variation | SS | df | MS | F | p-value | |
Sample | 75 | 1 | 75 | 63.38 | 8.92E−10 | |
Columns | 130.25 | 3 | 43.42 | 36.69 | 1.45E−11 | |
Interaction | 8.67 | 3 | 2.89 | 2.44 | 0.078 | |
Within | 47.33 | 40 | 1.18 | |||
Total | 261.25 | 47 | ||||
a. Can you conclude that there is interaction between the detergent brand name and the temperature of the water at the 5% significance level?
Yes, since the p-value associated with interaction is less than significance level.
Yes, since the p-value associated with interaction is greater than significance level.
No, since the p-value associated with interaction is less than significance level.
No, since the p-value associated with interaction is greater than significance level.
b-1. Are you able to conduct tests based on the main effects?
Yes
No
b-2. If yes, conduct these tests at the 5% significance level. (You may select more than one answer. Single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer. Any boxes left with a question mark will be automatically graded as incorrect.)