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 lightly 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 lightbox, 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 |
6 | 5 | 8 | ||
4 | 4 | 6 | ||
7 | 6 | 9 | ||
5 | 9 | 5 | ||
6 | 8 | 8 | ||
Night | 5 | 6 | 9 | |
7 | 8 | 7 | ||
6 | 7 | 6 | ||
7 | 5 | 7 | ||
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 experiment wise alpha equal to 0.05.)
Source of Variation |
SS | df | MS | F |
---|---|---|---|---|
Time of day | 1 | |||
Intensity | 2 | |||
Time of day × Intensity |
2 | |||
Error | 64.83 | 30 | 2.16 | |
Total | 86.97 | 35 |
(b) Compute Tukey's HSD to analyze the significant main effect.
The critical value is ______ for each pairwise comparison.
(c) Summarize the results for this test using APA format.
Anova: Two-Factor With Replication | ||||
SUMMARY | Low | Medium | High | Total |
Morning | ||||
Count | 6 | 6 | 6 | 18 |
Sum | 33 | 37 | 43 | 113 |
Average | 5.5 | 6.166667 | 7.166667 | 6.277778 |
Variance | 1.1 | 3.766667 | 2.166667 | 2.565359 |
Night | ||||
Count | 6 | 6 | 6 | 18 |
Sum | 32 | 43 | 42 | 117 |
Average | 5.333333 | 7.166667 | 7 | 6.5 |
Variance | 2.666667 | 2.166667 | 1.2 | 2.5 |
Total | ||||
Count | 12 | 12 | 12 | |
Sum | 65 | 80 | 85 | |
Average | 5.416667 | 6.666667 | 7.083333 | |
Variance | 1.719697 | 2.969697 | 1.537879 |
Source of | SS | df | MS | F |
Variation | ||||
Time of day | 0.44 | 1 | 0.44 | 0.20 |
Intensity | 18.06 | 2 | 9.03 | 4.15 |
Time of day *intensity | 2.72 | 2 | 1.36 | 0.62 |
Error | 65.33 | 30 | 2.18 | |
Total | 86.56 | 35 | ||
for the main effect of the time of day.
p value=0.65>α,So
-Retain the null hypothesis
for the main effect of intensity.
p value=0.03<α, So
-Reject the null hypothesis.
for the interaction effect.
p value=0.54>α, So
-Retain the null hypothesis.
...............
Level of significance | 0.05 |
no. of treatments,k | 3 |
DF error =N-k= | 30 |
MSE = | 2.1800 |
q-statistic value(α,k,N-k) | 3.486 |
confidence interval | ||||||
population mean difference | critical value | lower limit | upper limit | result | ||
µ1-µ2 | -1.25 | 1.49 | -2.74 | 0.24 | means are not different | |
µ1-µ3 | -1.666 | 1.49 | -3.15 | -0.18 | means are different | |
µ2-µ3 | -0.42 | 1.49 | -1.90 | 1.07 | means are not different |
.......
THANSK
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