In: Statistics and Probability
It contains information on a two factor experiment involving two types of laundry detergent (Super and Best) and three washing temperatures (cold, warm and hot). The numbers given represent the quantity of dirt removed in each wash. Use Excel to conduct a two-factor ANOVA experiment to determine if differences exist in either the type of detergent or the washing temperature. Also determine if differences exist with respect to the interaction of the two factors. Use α = 0.05.
Cold | Warm | Hot | |
Super | 4 | 7 | 10 |
5 | 9 | 12 | |
6 | 8 | 11 | |
5 | 12 | 9 | |
Best | 6 | 13 | 12 |
6 | 15 | 13 | |
4 | 12 | 10 | |
4 | 12 | 13 |
Step.1 First copy and paste data in Excel sheet,
Step.2 Go to 'Data' menu. Select 'Data Analysis' and then select 'Anova : Two factor with replication'
Step.3 New window will pop-up on screen. Refer following screen shot. Enter information accordingly.
Excel output:
Cold | Warm | Hot | |||||||||
Super | 4 | 7 | 10 | Anova: Two-Factor With Replication | |||||||
5 | 9 | 12 | |||||||||
6 | 8 | 11 | SUMMARY | Cold | Warm | Hot | Total | ||||
5 | 12 | 9 | Super | ||||||||
Best | 6 | 13 | 12 | Count | 4 | 4 | 4 | 12 | |||
6 | 15 | 13 | Sum | 20 | 36 | 42 | 98 | ||||
4 | 12 | 10 | Average | 5 | 9 | 10.5 | 8.166667 | ||||
4 | 12 | 13 | Variance | 0.666667 | 4.666667 | 1.666667 | 7.787879 | ||||
Best | |||||||||||
Count | 4 | 4 | 4 | 12 | |||||||
Sum | 20 | 52 | 48 | 120 | |||||||
Average | 5 | 13 | 12 | 10 | |||||||
Variance | 1.333333 | 2 | 2 | 15.27273 | |||||||
Total | |||||||||||
Count | 8 | 8 | 8 | ||||||||
Sum | 40 | 88 | 90 | ||||||||
Average | 5 | 11 | 11.25 | ||||||||
Variance | 0.857143 | 7.428571 | 2.214286 | ||||||||
ANOVA | |||||||||||
Source of Variation | SS | df | MS | F | P-value | F crit | |||||
Sample | 20.16667 | 1 | 20.16667 | 9.810811 | 0.005758 | 4.413873 | |||||
Columns | 200.3333 | 2 | 100.1667 | 48.72973 | 5.44E-08 | 3.554557 | |||||
Interaction | 16.33333 | 2 | 8.166667 | 3.972973 | 0.037224 | 3.554557 | |||||
Within | 37 | 18 | 2.055556 | ||||||||
Total | 273.8333 | 23 |
P-value for type of detergent is 0.005758 which is less than 0.05, hence at 5% level of significance we reject null hypothesis and conclude that there exist difference between type of detergent.
P-value for washing temperature is almost zero which is less than 0.05, hence at 5% level of significance we reject null hypothesis and conclude that there exist difference between washing temperature.
P-value for interaction effect is 0.0372 which is less than 0.05, hence at 5% level of significance we reject null hypothesis and conclude that there exist difference in the interaction effect.