Independent measures ANOVA:
A researcher wants to test whether having a healthy breakfast will help children do better on an exam. To test this, the researcher recruits 60 students. She then randomly assigns each student to either receive a healthy breakfast, an unhealthy breakfast, or no breakfast. Then, she gives each student an exam. The researcher records the participants’ scores on the exam. The results are given below. Test whether the type of breakfast (healthy, unhealthy, no breakfast) was associated with differences in exam scores at a .05 level of significance.
| Healthy Breakfast | Unhealthy Breakfast | No Breakfast |
| 95 | 75 | 81 |
| 85 | 77 | 85 |
| 99 | 85 | 64 |
| 81 | 90 | 73 |
| 92 | 65 | 82 |
| 93 | 45 | 90 |
| 100 | 87 | 66 |
| 88 | 64 | 71 |
| 78 | 62 | 68 |
| 89 | 73 | 89 |
| 84 | 41 | 87 |
| 99 | 77 | 78 |
| 95 | 89 | 80 |
| 96 | 95 | 91 |
| 89 | 82 | 66 |
| 90 | 84 | 77 |
| 92 | 73 | 74 |
| 87 | 71 | 81 |
| 88 | 63 | 83 |
| 92 | 62 | 75 |
Answer the questions on the attached sheet.
| Group 1 | Group 2 | Group 3 | |
| ____________________ | _____________________ | _____________________ | |
| Sample Size | |||
| Sample Mean | |||
| Sample Standard Deviation |
Based on the table shown in SPSS, state the following values associated with the difference scores:
SSBetween:
SSWithin:
MSBetween:
MSWithin:
Based on the table shown in SPSS, state the following values associated with the test statistic:
F-obt:
Degrees of freedom:
Significance:
