Depressed patients were randomly assigned to one of three groups: a placebo group, a group that received a moderate dose of the drug, and a group that received a high dose of the drug. After four weeks of treatment, the patients completed the Beck Depression Inventory. The higher the score, the more depressed the patient.
We are now also interested if a patient's weight has an effect on the drug's effectiveness. Patients were categorized as either underweight, overweight, or 'medium weight'. These revised data are presented below. Use the Microsoft Excel "Anova Single-Factor" Data Analysis tool to conduct a 2-way ANOVA test for the data in the following table:
Placebo | Moderate Dose | High Dose | |
underweight | 42 | 22 | 13 |
underweight | 52 | 19 | 14 |
medweight | 41 | 31 | 12 |
medweight | 41 | 21 | 19 |
overweight | 39 | 8 | 10 |
overweight | 33 | 23 | 0 |
H0: There is no main effect of weight
H0: There is no main effect of the drug
H0: There is no interaction effect
Ha: There is a main effect of at least one weight
Ha: There is a main effect of at least one drug
Ha: There is at least one interaction effect
The level of significance is 0.05 because it is the most appropriate level for rejecting the null hypothesis when it is true.
Get Answers For Free
Most questions answered within 1 hours.