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
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!

Solutions

Expert Solution

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.

Please do the comment for any doubt or clarification. Please upvote if this helps you out. Thank You!


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