ANOVA. Dr. Milgramm is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results.
- ANOVA. Dr. Milgramm is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results.
Group 1) “Like a lot”
Group 2) “Like somewhat” Mean: 5 SS: 6 N: df:
Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df:
Grand Mean:
df Within-Group:__________
df Between-Groups:___________
Estimated Variance (S21) for Group 1: _______
Estimated Variance (S22) for Group 2: ___________
Estimated Variance (S23) for Group 3: ___________
Within-Group Estimated Variance (S2Within): ___________
Between-Group Sum of Squared Deviations: ___________
Comparison Distribution Estimated Variance (S2M): ___________
Between-Group Estimated Variance (S2Between): _________
Number of Groups:________
Number of Subjects per group: __________
Total Number of Subjects: __________
F-ratio: __________
Cut-off Score (use p<.05): ________
Final Decision: Reject the Null Hypothesis or Fail to Reject the Null Hypothesis? What does this mean for our hypotheses?
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 3 images
