Question

In: Statistics and Probability

Seasonal affective disorder (SAD) is a type of depression during seasons with less daylight (e.g., winter...

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
6 6 8
4 3 6
7 7 9
5 9 5
6 8 8
Night 5 6 9
8 8 7
6 7 6
6 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


State the decision for the main effect of the time of day.

Retain the null hypothesis.Reject the null hypothesis.     


State the decision for the main effect of intensity.

Retain the null hypothesis.Reject the null hypothesis.     


State the decision for the interaction effect.

Retain the null hypothesis.Reject the null hypothesis.     


(b) Compute Tukey's HSD to analyze the significant main effect.

The critical value is  for each pairwise comparison.


Summarize the results for this test using APA format.

My SPSS stopped working and I am unable to complete my homework, help is appreciated!

Solutions

Expert Solution

a)

Anova: Two-Factor With Replication
SUMMARY Low Medium High Total
Morning
Count 6 6 6 18
Sum 33 38 43 114
Average 5.5 6.333333 7.166667 6.333333
Variance 1.1 4.666667 2.166667 2.823529
Night
Count 6 6 6 18
Sum 32 43 43 118
Average 5.333333 7.166667 7.166667 6.555556
Variance 3.066667 2.166667 1.366667 2.732026
Total
Count 12 12 12
Sum 65 81 86
Average 5.416667 6.75 7.166667
Variance 1.901515 3.295455 1.606061
ANOVA
Source of Variation SS df MS F P-value F crit
Sample 0.444444 1 0.444444 0.183486 0.671454 4.170877
Columns 20.05556 2 10.02778 4.139908 0.025839 3.31583
Interaction 1.722222 2 0.861111 0.355505 0.703732 3.31583
Within 72.66667 30 2.422222
Total 94.88889 35
Source of SS df MS F
Variation
Time of day 0.44 1 0.44 0.18
Intensity 20.06 2 10.03 4.14
Time of day *intensity 1.72 2 0.86 0.36
Error 72.67 30 2.42
Total 94.89 35

for the main effect of the time of day.          
          
p value=0.671>α,So          
          
-Retain the null hypothesis          
          
          
          
for the main effect of intensity.          
          
p value=0.026<α, So          
          
-Reject the null hypothesis.              
          
          
for the interaction effect.          
          
p value=0.704>α, So          
          
-Retain the null hypothesis.          

...............

q(3 , 30) = 3.4865

critical value = 1.53

.................

THANKS

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