In: Statistics and Probability
The data is presented in parallel format. Before running the
ANOVA in Excel, you will need to put it into serial (column)
format. You will need to create a categorical variable for the
first factor (days) and for the second factor (time of day). This
is a critical step.
The data presented shows exam scores for students randomly assigned
to the sections meeting on these days at these times of the
day:
Thursday | Friday | ||
---|---|---|---|
Morning | Afternoon | Morning | Afternoon |
15 46.9 39.6 45.2 28.5 45.6 15 47.5 28.1 39.3 |
47.1 34.4 27.8 49.2 61.4 48.9 27.8 33.8 61.3 47.2 |
26.8 46 46 46.1 46 38.4 27.6 59.5 59.5 38.4 |
23.6 35.6 40.9 32.3 40.8 41.2 32 41.4 35.2 22.9 |
Conduct a 2-way ANOVA. First, find the group means for each
level of the factors. (Report answers accurate to 2 decimal
places.)
Days:
MThursday=
MFriday=
Time of day:
Mmorning=
Mafternoon=
Report the results of the ANOVA for the main & interaction
effects. (Report P-values accurate to 4 decimal places and
F-ratios accurate to 3 decimal places.)
Day:
FA=
p=
Time of day:
FB=
p=
Interaction:
FA×B=
p=
using excel>data>data analysis>two way ANOVA
we have
Anova: Two-Factor With Replication | ||||||
SUMMARY | Morning | Afternoon | Total | |||
Thursday | ||||||
Count | 10 | 10 | 20 | |||
Sum | 350.7 | 438.9 | 789.6 | |||
Average | 35.07 | 43.89 | 39.48 | |||
Variance | 160.4134 | 154.8788 | 169.8206 | |||
Friday | ||||||
Count | 10 | 10 | 20 | |||
Sum | 434.3 | 345.9 | 780.2 | |||
Average | 43.43 | 34.59 | 39.01 | |||
Variance | 124.5757 | 48.80322 | 102.6915 | |||
Total | ||||||
Count | 20 | 20 | ||||
Sum | 785 | 784.8 | ||||
Average | 39.25 | 39.24 | ||||
Variance | 153.3868 | 119.2415 | ||||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
A | 2.209 | 1 | 2.209 | 0.018082 | 0.893781 | 4.113165 |
B | 0.001 | 1 | 0.001 | 8.19E-06 | 0.997733 | 4.113165 |
A*B | 779.689 | 1 | 779.689 | 6.382117 | 0.016067 | 4.113165 |
Within | 4398.04 | 36 | 122.1678 | |||
Total | 5179.939 | 39 |
Days:
MThursday=39.48
MFriday=39.01
Time of day:
Mmorning=39.25
Mafternoon=39.24
Report the results of the ANOVA for the main & interaction
effects. (Report P-values accurate to 4 decimal places and
F-ratios accurate to 3 decimal places.)
Day:
FA=0.018
p=0.8938
Time of day:
FB=0.000
p=0.9977
Interaction:
FA×B=6.382
p=0.0161