In: Statistics and Probability
Recent research indicates that the effectiveness of
antidepressant medication is directly related to the severity of
the depression (Khan, Brodhead, Kolts & Brown, 2005). Based on
pretreatment depression scores, patients were divided into four
groups based on their level of depression. After receiving the
antidepressant medication, depression scores were measured again
and the amount of improvement was recorded for each patient. The
following data are similar to the results of the study.
Run the single-factor ANOVA for this data:
Low Moderate |
High Moderate |
Moderately Severe |
Severe |
---|---|---|---|
1.5 | 0.4 | 2.1 | 3.6 |
0.3 | 1.9 | 3.4 | 4.7 |
2.7 | 3.3 | 1.8 | 4.6 |
1.9 | 1.5 | 3.3 | 5.4 |
0.7 | 3.1 | 1.8 | 3.6 |
2.2 | 3.4 | 3.4 | 3 |
Fill in the summary table for the ANOVA test:
S.S. | d.f. | M.S. | |
Between | |||
---|---|---|---|
Within | |||
TOTAL |
From this table, obtain the necessary statistics for the
ANOVA:
F-ratio:
p-value:
η2=η2=
What is your final conclusion? Use a significance level of
α=0.02α=0.02.
The statistical software output for this problem is:
From the above output:
ANOVA summary table is:
Source | SS | DF | MS |
---|---|---|---|
Columns | 21.643 | 3 | 7.214 |
Error | 18.697 | 20 | 0.935 |
Total | 40.34 | 23 |
F = 7.717
P - value = 0.0013
= 21.643/40.34 = 0.537
Final conclusion: There is a significant difference between treatments