In: Statistics and Probability
Seasonal affective disorder (SAD) is a type of depression during seasons with less daylight (e.g., winter months). One therapy for SAD is phototherapy, which is increased exposure to light used to improve mood. A researcher tests this therapy by exposing a sample of patients with SAD to different intensities of light (low, medium, high) in a light box, either in the morning or at night (these are the times thought to be most effective for light therapy). All participants rated their mood following this therapy on a scale from 1 (poor mood) to 9 (improved mood). The hypothetical results are given in the following table.
Light Intensity | ||||
---|---|---|---|---|
Low | Medium | High | ||
Time
of Day |
Morning | 5 | 5 | 7 |
5 | 6 | 8 | ||
4 | 4 | 6 | ||
7 | 7 | 9 | ||
5 | 8 | 5 | ||
6 | 8 | 8 | ||
Night | 4 | 6 | 9 | |
8 | 8 | 7 | ||
6 | 7 | 6 | ||
7 | 5 | 8 | ||
4 | 9 | 7 | ||
3 | 8 | 6 |
(a) Complete the F-table and make a decision to retain or reject the null hypothesis for each hypothesis test. (Round your answers to two decimal places. Assume experimentwise alpha equal to 0.05.)
Source of Variation |
SS | df | MS | F |
---|---|---|---|---|
Time of day | ||||
Intensity | ||||
Time
of day × Intensity |
||||
Error | ||||
Total |
I have worked on this for three days, can't get it. Please help!
Load the data into Excel.
Go to Data> Data Analysis.
Go to ANOVA: Two Factor With replication.
Select the data into the Input Range.
Select the replications as 5.
Click OK.
The output is as follows:
SUMMARY | low | medium | high | Total | ||
Count | 6 | 6 | 6 | 18 | ||
Sum | 32 | 38 | 43 | 113 | ||
Average | 5.333333 | 6.333333 | 7.166667 | 6.277778 | ||
Variance | 1.066667 | 2.666667 | 2.166667 | 2.330065 | ||
night | ||||||
Count | 6 | 6 | 6 | 18 | ||
Sum | 32 | 43 | 43 | 118 | ||
Average | 5.333333 | 7.166667 | 7.166667 | 6.555556 | ||
Variance | 3.866667 | 2.166667 | 1.366667 | 2.96732 | ||
Total | ||||||
Count | 12 | 12 | 12 | |||
Sum | 64 | 81 | 86 | |||
Average | 5.333333 | 6.75 | 7.166667 | |||
Variance | 2.242424 | 2.386364 | 1.606061 | |||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Sample | 0.694444 | 1 | 0.694444 | 0.313283 | 0.579828 | 4.170877 |
Columns | 22.16667 | 2 | 11.08333 | 5 | 0.013363 | 3.31583 |
Interaction | 1.388889 | 2 | 0.694444 | 0.313283 | 0.733406 | 3.31583 |
Within | 66.5 | 30 | 2.216667 | |||
Total | 90.75 | 35 |
a)
ANOVA | ||||
Source of Variation | SS | df | MS | F |
time of day | 0.69 | 1.00 | 0.69 | 0.31 |
intensity | 22.17 | 2.00 | 11.08 | 5.00 |
time of day*intensity | 1.39 | 2.00 | 0.69 | 0.31 |
error | 66.50 | 30.00 | 2.22 | |
Total | 90.75 | 35.00 |
from above only intensity is significant; therefore reject hypothesis for intensity but fail to reject fo time of day as well for interaction.
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