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


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.

Solutions

Expert Solution

using excel data analysis tool for two factor anova with replication,

Anova: Two-Factor With Replication
SUMMARY Low Medium High Total
Morning
Count 6 6 6 18
Sum 33 39 43 115
Average 5.5 6.5 7.166667 6.388889
Variance 1.1 3.5 2.166667 2.486928
Night
Count 6 6 6 18
Sum 32 43 43 118
Average 5.333333 7.166667 7.166667 6.555556
Variance 2.666667 2.166667 1.366667 2.614379
Total
Count 12 12 12
Sum 65 82 86
Average 5.416667 6.833333 7.166667
Variance 1.719697 2.69697 1.606061
ANOVA
Source of Variation SS df MS F P-value F crit
Sample 0.25 1 0.25 0.115681 0.736137 4.170877
Columns 20.72222 2 10.36111 4.794344 0.015605 3.31583
Interaction 1.166667 2 0.583333 0.269923 0.765273 3.31583
Within 64.83333 30 2.161111
Total 86.97222 35

a)

ANOVA
Source of Variation SS df MS F P-value
time of the day 0.25 1 0.25 0.12 0.74
intensity 20.72 2 10.36 4.79 0.02
time *intensity 1.17 2 0.58 0.27 0.77
error 64.83 30 2.16
Total 86.97 35

p-value for  main effect of the time of day = 0.74 >α=0.05,

so, fail to reject null hypothesis

-----------------

p-value for  the main effect of intensity =0.02<α=0.05

s, reject the null hypothesis

-------------

p-value for the interaction effect = 0.77<α=0.05

so, fail to reject null hypothesis

------------------------------------------------------------------------------------------

b)

Level of significance 0.05
no. of treatments,k 3
DF error =N-k= 30
MSE 2.1611
q-statistic value(α,k,N-k) 3.4880
Low Medium High
count, ni = 12 12 12
mean , x̅ i = 5.4167 6.83 7.17

critical value = q*√(MSE/2*(1/ni+1/nj)) = 1.4802

The critical value is_____1.4802____for each pairwise comparison.


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